Christopher Ré

514 papers A* 116A 22B 2C 1Misc 4Journal 282Unranked 86

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems. Trans. Mach. Learn. Res. Xavier Gonzalez, Estefany Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Leo Kozachkov, Christopher Ré, Scott W. Linderman
2026	J	`jnl`	Olmix: A Framework for Data Mixing Throughout LM Development. CoRR Mayee F. Chen, Tyler Murray, David Heineman, Matt Jordan, Hannaneh Hajishirzi, Christopher Ré, Luca Soldaini, Kyle Lo
2025	J	`jnl`	A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems. CoRR Xavier Gonzalez, Estefany Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Christopher Ré, Scott W. Linderman
2025	A*	`conf`	Aioli: A Unified Optimization Framework for Language Model Data Mixing. ICLR Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2025	A*	`conf`	An Architecture Search Framework for Inference-Time Techniques. ICML Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	An Information Theoretic Perspective on Agentic System Design. CoRR Shizhe He, Avanika Narayan, Ishan S. Khare, Scott W. Linderman, Christopher Ré, Dan Biderman
2025	J	`jnl`	BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs. CoRR Jerry W. Liu, Yasa Baig, Denise Hui Jean Lee, Rajat Vadiraj Dwaraknath, Atri Rudra, Christopher Ré
2025	J	`jnl`	Cartridges: Lightweight and general-purpose long context representations via self-study. CoRR Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Will Tennien, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	CodeMonkeys: Scaling Test-Time Compute for Software Engineering. CoRR Ryan Ehrlich, Bradley C. A. Brown, Jordan Juravsky, Ronald Clark, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	Constructing Efficient Fact-Storing MLPs for Transformers. CoRR Owen Dugan, Roberto Garcia, Ronald G. Junkins, Jerry W. Liu, Dylan Zinsley, Sabri Eyuboglu, Atri Rudra, Christopher Ré
2025	A*	`conf`	Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. ICLR Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam Shah
2025	A*	`conf`	Cost-efficient Collaboration between On-device and Cloud Language Models. ICML Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2025	A*	`conf`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CVPR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CoRR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	HipKittens: Fast and Furious AMD Kernels. CoRR William Hu, Drew Wadsworth, Sean Siddens, Stanley Winata, Daniel Y. Fu, Ryan Swann, Muhammad Osama, Christopher Ré, Simran Arora
2025	J	`jnl`	Intelligence per Watt: Measuring Intelligence Efficiency of Local AI. CoRR Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré
2025	A*	`conf`	KernelBench: Can LLMs Write Efficient GPU Kernels? ICML Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	KernelBench: Can LLMs Write Efficient GPU Kernels? CoRR Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	A*	`conf`	LoLCATs: On Low-Rank Linearizing of Large Language Models. ICLR Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Frederick Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher Ré
2025	J	`jnl`	Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models. CoRR Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2025	J	`jnl`	ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels. CoRR Stuart H. Sul, Simran Arora, Benjamin Frederick Spector, Christopher Ré
2025	J	`jnl`	Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers. J. Mach. Learn. Res. Fan Yang, Hongyang R. Zhang, Sen Wu, Christopher Ré, Weijie J. Su
2025	A*	`conf`	Restructuring Vector Quantization with the Rotation Trick. ICLR Christopher Fifty, Ronald Guenther Junkins, Dennis Duan, Aniketh Iyengar, Jerry Weihong Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré
2025	A*	`conf`	Scaling Laws for Precision. ICLR Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2025	J	`jnl`	Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. CoRR Jerome Ku, Eric Nguyen, David W. Romero, Garyk Brixi, Brandon Yang, Anton Vorontsov, Ali Taghibakhshi, Amy X. Lu, Dave P. Burke, Greg Brockman, Stefano Massaroli, Christopher Ré, Patrick D. Hsu, Brian L. Hie, Stefano Ermon, Michael Poli
2025	A*	`conf`	ThunderKittens: Simple, Fast, and Adorable Kernels. ICLR Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher Ré
2025	A*	`conf`	Towards Learning High-Precision Least Squares Algorithms with Sequence Models. ICLR Jerry Weihong Liu, Jessica Grogan, Owen M. Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Ré
2025	J	`jnl`	Towards Learning High-Precision Least Squares Algorithms with Sequence Models. CoRR Jerry W. Liu, Jessica Grogan, Owen Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Ré
2024	J	`jnl`	Aioli: A Unified Optimization Framework for Language Model Data Mixing. CoRR Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2024	J	`jnl`	Archon: An Architecture Search Framework for Inference-Time Techniques. CoRR Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	Automated Rewards via LLM-Generated Progress Functions. CoRR Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian
2024	J	`jnl`	Automating the Enterprise with Foundation Models. CoRR Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam H. Shah, Christopher Ré
2024	J	`jnl`	Automating the Enterprise with Foundation Models. Proc. VLDB Endow. Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam Shah, Christopher Ré
2024	A*	`conf`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	J	`jnl`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	A	`conf`	Collage Diffusion. WACV Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
2024	J	`jnl`	Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs. CoRR Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam H. Shah
2024	A*	`conf`	Context-Aware Meta-Learning. ICLR Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
2024	J	`jnl`	Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates. CoRR Avanika Narayan, Mayee F. Chen, Kush Bhatia, Christopher Ré
2024	J	`jnl`	Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks. CoRR Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré
2024	A*	`conf`	FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. ICLR Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
2024	J	`jnl`	Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR Jordan Juravsky, Bradley C. A. Brown, Ryan Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	Just read twice: closing the recall gap for recurrent language models. CoRR Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré
2024	J	`jnl`	Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR Bradley C. A. Brown, Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	LoLCATs: On Low-Rank Linearizing of Large Language Models. CoRR Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré
2024	A*	`conf`	Mechanistic Design and Scaling of Hybrid Architectures. ICML Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024	J	`jnl`	Mechanistic Design and Scaling of Hybrid Architectures. CoRR Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024	—	`conf`	Model ChangeLists: Characterizing Updates to ML Models. FAccT Sabri Eyuboglu, Karan Goel, Arjun Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
2024	A*	`conf`	Prospector Heads: Generalized Feature Attribution for Large Models & Data. ICML Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2024	J	`jnl`	Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2024	A*	`conf`	RedPajama: an Open Dataset for Training Large Language Models. NeurIPS Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	RedPajama: an Open Dataset for Training Large Language Models. CoRR Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	Restructuring Vector Quantization with the Rotation Trick. CoRR Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh Iger, Jerry W. Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré
2024	J	`jnl`	Scaling Laws for Precision. CoRR Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2024	A*	`conf`	Simple linear attention language models balance the recall-throughput tradeoff. ICML Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré
2024	J	`jnl`	Simple linear attention language models balance the recall-throughput tradeoff. CoRR Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
2024	A*	`conf`	Smoothie: Label Free Language Model Routing. NeurIPS Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Ré
2024	J	`jnl`	Smoothie: Label Free Language Model Routing. CoRR Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Ré
2024	A*	`conf`	State-Free Inference of State-Space Models: The Transfer Function Approach. ICML Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita
2024	J	`jnl`	State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
2024	A*	`conf`	The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. ICLR Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré
2024	J	`jnl`	The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. CoRR Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré
2024	J	`jnl`	ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré
2024	J	`jnl`	Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
2024	A*	`conf`	WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks. NeurIPS Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam Shah, Christopher Ré
2024	A*	`conf`	Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2023	A*	`conf`	A case for reframing automated medical image classification as segmentation. NeurIPS Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré
2023	J	`jnl`	Accelerating LLM Inference with Staged Speculative Decoding. CoRR Benjamin Spector, Christopher Ré
2023	A*	`conf`	Ask Me Anything: A simple strategy for prompting language models. ICLR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré
2023	J	`jnl`	Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage Armin W. Thomas, Christopher Ré, Russell A. Poldrack
2023	A*	`conf`	CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang
2023	J	`jnl`	Collage Diffusion. CoRR Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
2023	J	`jnl`	Context-Aware Meta-Learning. CoRR Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
2023	A*	`conf`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	J	`jnl`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	A*	`conf`	Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2023	J	`jnl`	Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2023	A*	`conf`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	J	`jnl`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	A*	`conf`	Fast Algorithms for a New Relaxation of Optimal Transport. COLT Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten
2023	J	`jnl`	Fast Algorithms for a New Relaxation of Optimal Transport. CoRR Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten
2023	J	`jnl`	FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
2023	A*	`conf`	FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	J	`jnl`	GRIP: A Graph Neural Network Accelerator Architecture. IEEE Trans. Computers Kevin Kiningham, Philip Alexander Levis, Christopher Ré
2023	J	`jnl`	H CoRR Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
2023	J	`jnl`	High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2023	A*	`conf`	How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections. ICLR Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré
2023	A*	`conf`	Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
2023	A*	`conf`	Hyena Hierarchy: Towards Larger Convolutional Language Models. ICML Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023	J	`jnl`	Hyena Hierarchy: Towards Larger Convolutional Language Models. CoRR Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023	A*	`conf`	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. NeurIPS Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus
2023	J	`jnl`	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. CoRR Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton M. Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Christopher Ré
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	A*	`conf`	Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023	J	`jnl`	Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. CoRR Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023	A*	`conf`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
2023	J	`jnl`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
2023	A*	`conf`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	Reasoning over Public and Private Data in Retrieval-Based Systems. Trans. Assoc. Comput. Linguistics Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
2023	A*	`conf`	Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
2023	J	`jnl`	Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
2023	J	`jnl`	Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
2023	A*	`conf`	Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré
2023	A*	`conf`	TART: A plug-and-play Transformer module for task-agnostic reasoning. NeurIPS Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré
2023	J	`jnl`	TART: A plug-and-play Transformer module for task-agnostic reasoning. CoRR Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré
2023	J	`jnl`	Towards trustworthy seizure onset detection using workflow notes. CoRR Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
2023	J	`jnl`	Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2022	J	`jnl`	Ask Me Anything: A simple strategy for prompting language models. CoRR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
2022	J	`jnl`	BARACK: Partially Supervised Group Robustness With Guarantees. CoRR Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
2022	J	`jnl`	Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR Simran Arora, Christopher Ré
2022	J	`jnl`	Can Foundation Models Wrangle Your Data? CoRR Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
2022	J	`jnl`	Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
2022	J	`jnl`	Comparing interpretation methods in mental state decoding analyses with deep learning models. CoRR Armin W. Thomas, Christopher Ré, Russell A. Poldrack
2022	A*	`conf`	Contrastive Adapters for Foundation Model Group Robustness. NeurIPS Michael Zhang, Christopher Ré
2022	J	`jnl`	Contrastive Adapters for Foundation Model Group Robustness. CoRR Michael Zhang, Christopher Ré
2022	J	`jnl`	Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
2022	A*	`conf`	Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
2022	A	`conf`	Data Management Opportunities for Foundation Models. CIDR Laurel J. Orr, Karan Goel, Christopher Ré
2022	A*	`conf`	Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
2022	J	`jnl`	Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
2022	J	`jnl`	Declarative machine learning systems. Commun. ACM Piero Molino, Christopher Ré
2022	A*	`conf`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	J	`jnl`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	A*	`conf`	Efficiently Modeling Long Sequences with Structured State Spaces. ICLR Albert Gu, Karan Goel, Christopher Ré
2022	J	`jnl`	Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	A*	`conf`	Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	A*	`conf`	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
2022	J	`jnl`	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. CoRR Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
2022	A*	`conf`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
2022	J	`jnl`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2022	J	`jnl`	How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections. CoRR Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré
2022	J	`jnl`	Hungry Hungry Hippos: Towards Language Modeling with State Space Models. CoRR Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
2022	—	`conf`	Is Data Management the Beating Heart of AI Systems? SIGMOD Conference Christopher Ré
2022	A*	`conf`	It's Raw! Audio Generation with State-Space Models. ICML Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
2022	J	`jnl`	It's Raw! Audio Generation with State-Space Models. CoRR Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
2022	J	`jnl`	LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning. CoRR Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré
2022	J	`jnl`	Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2022	—	`conf`	Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) Simran Arora, Sen Wu, Enci Liu, Christopher Ré
2022	A*	`conf`	Monarch: Expressive Structured Matrices for Efficient and Accurate Training. ICML Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022	J	`jnl`	Monarch: Expressive Structured Matrices for Efficient and Accurate Training. CoRR Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022	A*	`conf`	On the Parameterization and Initialization of Diagonal State Space Models. NeurIPS Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré
2022	J	`jnl`	On the Parameterization and Initialization of Diagonal State Space Models. CoRR Albert Gu, Ankit Gupta, Karan Goel, Christopher Ré
2022	A*	`conf`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	A*	`conf`	Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. ICLR Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
2022	J	`jnl`	Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
2022	—	`conf`	Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré
2022	J	`jnl`	S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces. CoRR Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré
2022	A*	`conf`	S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces. NeurIPS Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré
2022	J	`jnl`	SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. CoRR Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay S. Chaudhari
2022	A*	`conf`	Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS Armin W. Thomas, Christopher Ré, Russell A. Poldrack
2022	J	`jnl`	Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	A	`conf`	Shoring up the foundations: fusing model embeddings and weak supervision. UAI Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	—	`conf`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2022	J	`jnl`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2022	—	`conf`	The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska
2022	J	`jnl`	The Importance of Background Information for Out of Distribution Generalization. CoRR Jupinder Parmar, Khaled Saab, Brian Pogatchnik, Daniel L. Rubin, Christopher Ré
2022	J	`jnl`	The Seattle report on database research. Commun. ACM Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
2022	A*	`conf`	Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2022	J	`jnl`	Transform Once: Efficient Operator Learning in Frequency Domain. CoRR Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2022	—	`conf`	VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2022	—	`conf`	dcbench: a benchmark for data-centric AI systems. DEEM@SIGMOD Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou
2021	A	`conf`	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré
2021	A*	`conf`	Catformer: Designing Stable Transformers via Sensitivity Analysis. ICML Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Ré, Chelsea Finn, Percy Liang
2021	J	`jnl`	Challenges for cognitive decoding using deep learning methods. CoRR Armin W. Thomas, Christopher Ré, Russell A. Poldrack
2021	A*	`conf`	Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers. NeurIPS Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré
2021	J	`jnl`	Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers. CoRR Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré
2021	A	`conf`	Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
2021	J	`jnl`	Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
2021	J	`jnl`	Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin
2021	—	`conf`	Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
2021	J	`jnl`	Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
2021	A*	`conf`	Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré
2021	J	`jnl`	Declarative Machine Learning Systems. CoRR Piero Molino, Christopher Ré
2021	J	`jnl`	Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us. ACM Queue Piero Molino, Christopher Ré
2021	J	`jnl`	Efficiently Modeling Long Sequences with Structured State Spaces. CoRR Albert Gu, Karan Goel, Christopher Ré
2021	J	`jnl`	Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. CoRR Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas
2021	J	`jnl`	Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. Proc. VLDB Endow. Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas
2021	—	`conf`	Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré
2021	A*	`conf`	HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. ICML Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré
2021	J	`jnl`	HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. CoRR Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré
2021	J	`jnl`	ML-In-Databases: Assessment and Prognosis. IEEE Data Eng. Bull. Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker
2021	A*	`conf`	MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré
2021	A*	`conf`	Mandoline: Model Evaluation under Distribution Shift. ICML Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	Mandoline: Model Evaluation under Distribution Shift. CoRR Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	Metadata Shaping: Natural Language Annotations for the Tail. CoRR Simran Arora, Sen Wu, Enci Liu, Christopher Ré
2021	A*	`conf`	Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. ICLR Karan Goel, Albert Gu, Sharon Li, Christopher Ré
2021	J	`jnl`	Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021	—	`conf`	Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré
2021	—	`conf`	Personalized Benchmarking with the Ludwig Benchmarking Toolkit. NeurIPS Datasets and Benchmarks Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2021	J	`jnl`	Personalized Benchmarking with the Ludwig Benchmarking Toolkit. CoRR Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2021	—	`conf`	PipeMare: Asynchronous Pipeline Parallel DNN Training. MLSys Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
2021	J	`jnl`	Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. CoRR Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
2021	A*	`conf`	Rethinking Neural Operations for Diverse Tasks. NeurIPS Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar
2021	J	`jnl`	Rethinking Neural Operations for Diverse Tasks. CoRR Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar
2021	—	`conf`	Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré
2021	J	`jnl`	Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré
2021	—	`conf`	SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. NeurIPS Datasets and Benchmarks Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari
2021	J	`jnl`	Scatterbrain: Unifying Sparse and Low-rank Attention Approximation. CoRR Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré
2021	A*	`conf`	Scatterbrain: Unifying Sparse and Low-rank Attention. NeurIPS Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré
2020	J	`jnl`	Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel
2020	J	`jnl`	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
2020	J	`jnl`	Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks. J. Am. Medical Informatics Assoc. Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane
2020	A*	`conf`	Contextual Embeddings: When Are They Worth It? ACL Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Contextual Embeddings: When Are They Worth It? CoRR Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning. ACM Trans. Embed. Comput. Syst. Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis
2020	J	`jnl`	Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré
2020	J	`jnl`	Extracting chemical reactions from text using Snorkel. BMC Bioinform. Emily K. Mallory, Matthieu de Rochemonteix, Alexander Ratner, Ambika Acharya, Christopher Ré, Roselie A. Bright, Russ B. Altman
2020	A*	`conf`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	A*	`conf`	From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. NeurIPS Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré
2020	J	`jnl`	From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. CoRR Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré
2020	J	`jnl`	GRIP: A Graph Neural Network Accelerator Architecture. CoRR Kevin Kiningham, Christopher Ré, Philip Alexander Levis
2020	A*	`conf`	HiPPO: Recurrent Memory with Optimal Polynomial Projections. NeurIPS Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré
2020	J	`jnl`	HiPPO: Recurrent Memory with Optimal Polynomial Projections. CoRR Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré
2020	—	`conf`	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2020	A	`conf`	Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
2020	J	`jnl`	Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
2020	A*	`conf`	Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. ICLR Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
2020	J	`jnl`	Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. CoRR Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
2020	J	`jnl`	Leveraging Organizational Resources to Adapt Models to New Data Modalities. CoRR Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Ré, Abishek Sethi
2020	J	`jnl`	Leveraging Organizational Resources to Adapt Models to New Data Modalities. Proc. VLDB Endow. Sahaana Suri, Abishek Sethi, Girija Narlikar, Neslihan Bulut, Raghuveer Chanda, Sugato Basu, Pradyumna Narayana, Peter Bailis, Christopher Ré, Yemao Zeng
2020	A*	`conf`	Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré
2020	J	`jnl`	Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré
2020	J	`jnl`	Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2020	J	`jnl`	Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. CoRR Karan Goel, Albert Gu, Sharon Li, Christopher Ré
2020	A*	`conf`	No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
2020	J	`jnl`	No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. CoRR Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
2020	A*	`conf`	On the Generalization Effects of Linear Transformations in Data Augmentation. ICML Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
2020	J	`jnl`	On the Generalization Effects of Linear Transformations in Data Augmentation. CoRR Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
2020	A	`conf`	Overton: A Data System for Monitoring and Improving Machine-Learned Products. CIDR Christopher Ré
2020	J	`jnl`	Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression. CoRR Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré
2020	J	`jnl`	Snorkel: rapid training data creation with weak supervision. VLDB J. Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason A. Fries, Sen Wu, Christopher Ré
2020	A*	`conf`	Sparse Recovery for Orthogonal Polynomial Transforms. ICALP Anna C. Gilbert, Albert Gu, Christopher Ré, Atri Rudra, Mary Wootters
2020	J	`jnl`	Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
2020	A*	`conf`	Understanding and Improving Information Transfer in Multi-Task Learning. ICLR Sen Wu, Hongyang R. Zhang, Christopher Ré
2020	J	`jnl`	Understanding and Improving Information Transfer in Multi-Task Learning. CoRR Sen Wu, Hongyang R. Zhang, Christopher Ré
2020	—	`conf`	Understanding the Downstream Instability of Word Embeddings. MLSys Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2020	J	`jnl`	Understanding the Downstream Instability of Word Embeddings. CoRR Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2020	J	`jnl`	Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer
2019	A	`conf`	A Formal Framework for Probabilistic Unclean Databases. ICDT Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas
2019	A*	`conf`	A Kernel Theory of Modern Data Augmentation. ICML Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher Ré
2019	J	`jnl`	Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2019	B	`conf`	Automating the generation of hardware component knowledge bases. LCTES Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis
2019	Misc	`conf`	Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks. AMIA Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane
2019	J	`jnl`	Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré
2019	—	`conf`	Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin
2019	J	`jnl`	Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2019	A*	`conf`	Hyperbolic Graph Convolutional Neural Networks. NeurIPS Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec
2019	J	`jnl`	Hyperbolic Graph Convolutional Neural Networks. CoRR Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec
2019	A*	`conf`	Learning Dependency Structures for Weak Supervision Models. ICML Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
2019	J	`jnl`	Learning Dependency Structures for Weak Supervision Models. CoRR Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré
2019	A*	`conf`	Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. ICML Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
2019	J	`jnl`	Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. CoRR Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
2019	—	`conf`	Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré
2019	J	`jnl`	Low-Memory Neural Network Training: A Technical Report. CoRR Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré
2019	A	`conf`	Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS Jian Zhang, Avner May, Tri Dao, Christopher Ré
2019	J	`jnl`	Medical device surveillance with electronic health records. CoRR Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah
2019	J	`jnl`	Medical device surveillance with electronic health records. npj Digit. Medicine Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah
2019	A*	`conf`	Multi-Resolution Weak Supervision for Sequential Data. NeurIPS Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	J	`jnl`	Multi-Resolution Weak Supervision for Sequential Data. CoRR Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	A*	`conf`	On the Downstream Performance of Compressed Word Embeddings. NeurIPS Avner May, Jian Zhang, Tri Dao, Christopher Ré
2019	J	`jnl`	On the Downstream Performance of Compressed Word Embeddings. CoRR Avner May, Jian Zhang, Tri Dao, Christopher Ré
2019	—	`conf`	Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. DEEM@SIGMOD Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré
2019	J	`jnl`	Overton: A Data System for Monitoring and Improving Machine-Learned Products. CoRR Christopher Ré, Feng Niu, Pallavi Gudipati, Charles Srisuwananukorn
2019	J	`jnl`	PipeMare: Asynchronous Pipeline Parallel DNN Training. CoRR Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
2019	J	`jnl`	Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian
2019	A*	`conf`	Scene Graph Prediction With Limited Labels. ICCV Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
2019	—	`conf`	Scene Graph Prediction with Limited Labels. ICCV Workshops Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
2019	J	`jnl`	Scene Graph Prediction with Limited Labels. CoRR Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
2019	A*	`conf`	Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. NeurIPS Vincent S. Chen, Sen Wu, Alexander J. Ratner, Jen Weng, Christopher Ré
2019	J	`jnl`	Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. CoRR Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré
2019	—	`conf`	Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. SIGMOD Conference Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin
2019	J	`jnl`	Sparse Recovery for Orthogonal Polynomial Transforms. CoRR Anna C. Gilbert, Albert Gu, Christopher Ré, Atri Rudra, Mary Wootters
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2019	A	`conf`	The Role of Massively Multi-Task and Weak Supervision in Software 2.0. CIDR Alexander J. Ratner, Braden Hancock, Christopher Ré
2019	J	`jnl`	The Seattle Report on Database Research. SIGMOD Rec. Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
2019	A*	`conf`	Training Complex Models with Multi-Task Weak Supervision. AAAI Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2019	C	`conf`	Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. IV Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré
2018	J	`jnl`	A Formal Framework For Probabilistic Unclean Databases. CoRR Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas
2018	J	`jnl`	A Kernel Theory of Modern Data Augmentation. CoRR Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, Christopher Ré
2018	J	`jnl`	A Relational Framework for Classifier Engineering. SIGMOD Rec. Benny Kimelfeld, Christopher Ré
2018	J	`jnl`	A Relational Framework for Classifier Engineering. ACM Trans. Database Syst. Benny Kimelfeld, Christopher Ré
2018	A*	`conf`	A Two-pronged Progress in Structured Dense Matrix Vector Multiplication. SODA Christopher De Sa, Albert Gu, Rohan Puttagunta, Christopher Ré, Atri Rudra
2018	A	`conf`	Accelerated Stochastic Power Iteration. AISTATS Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2018	J	`jnl`	Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2018	—	`conf`	Exploring the Utility of Developer Exhaust. DEEM@SIGMOD Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
2018	—	`conf`	Fonduer: Knowledge Base Construction from Richly Formatted Data. SIGMOD Conference Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
2018	J	`jnl`	High-Accuracy Low-Precision Training. CoRR Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré
2018	J	`jnl`	Hypertree Decompositions Revisited for PGMs. CoRR Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra
2018	J	`jnl`	Hypertree Decompositions Revisited for PGMs. CoRR Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra
2018	J	`jnl`	It's All a Matter of Degree - Using Degree Information to Optimize Multiway Joins. Theory Comput. Syst. Manas Joglekar, Christopher Ré
2018	J	`jnl`	Knowledge Base Construction in the Machine-learning Era. ACM Queue Alexander Ratner, Christopher Ré
2018	A*	`conf`	Learning Compressed Transforms with Low Displacement Rank. NeurIPS Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré
2018	J	`jnl`	Learning Compressed Transforms with Low Displacement Rank. CoRR Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré
2018	—	`conf`	Learning Invariance with Compact Transforms. ICLR (Workshop) Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré
2018	A*	`conf`	LevelHeaded: A Unified Engine for Business Intelligence and Linear Algebra Querying. ICDE Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
2018	J	`jnl`	Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR Jian Zhang, Avner May, Tri Dao, Christopher Ré
2018	Misc	`conf`	Machine learning and deep analytics for biocomputing: Call for better explainability. PSB Dragutin Petkovic, Lester Kobzik, Christopher Ré
2018	A*	`conf`	Representation Tradeoffs for Hyperbolic Embeddings. ICML Frederic Sala, Christopher De Sa, Albert Gu, Christopher Ré
2018	J	`jnl`	Representation Tradeoffs for Hyperbolic Embeddings. CoRR Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala
2018	J	`jnl`	Research for practice: knowledge base construction in the machine-learning era. Commun. ACM Alexander Ratner, Christopher Ré, Peter Bailis
2018	J	`jnl`	Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. CoRR Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin
2018	—	`conf`	Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré
2018	J	`jnl`	Snuba: Automating Weak Supervision to Label Training Data. Proc. VLDB Endow. Paroma Varma, Christopher Ré
2018	A*	`conf`	Software 2.0 and Snorkel: Beyond Hand-Labeled Data. KDD Christopher Ré
2018	—	`conf`	Training Classifiers with Natural Language Explanations. ACL (1) Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2018	J	`jnl`	Training Classifiers with Natural Language Explanations. CoRR Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2018	J	`jnl`	Training Complex Models with Multi-Task Weak Supervision. CoRR Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2018	Misc	`conf`	Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology. AMIA Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher Ré, Russ B. Altman, Michael Snyder
2018	J	`jnl`	Worst-case Optimal Join Algorithms. J. ACM Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra
2017	A*	`conf`	A Relational Framework for Classifier Engineering. PODS Benny Kimelfeld, Christopher Ré
2017	J	`jnl`	Accelerated Stochastic Power Iteration. CoRR Christopher De Sa, Bryan D. He, Ioannis Mitliagkas, Christopher Ré, Peng Xu
2017	J	`jnl`	DeepDive: declarative knowledge base construction. Commun. ACM Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin, Feiran Wang, Sen Wu
2017	J	`jnl`	EmptyHeaded: A Relational Engine for Graph Processing. ACM Trans. Database Syst. Christopher R. Aberger, Andrew Lamb, Susan Tu, Andres Nötzli, Kunle Olukotun, Christopher Ré
2017	A*	`conf`	Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. IJCAI Christopher De Sa, Kunle Olukotun, Christopher Ré
2017	—	`conf`	Flipper: A Systematic Approach to Debugging Training Sets. HILDA@SIGMOD Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré
2017	J	`jnl`	Fonduer: Knowledge Base Construction from Richly Formatted Data. CoRR Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
2017	A	`conf`	GYM: A Multiround Distributed Join Algorithm. ICDT Foto N. Afrati, Manas R. Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman
2017	—	`conf`	Gaussian Quadrature for Kernel Features. NIPS Tri Dao, Christopher De Sa, Christopher Ré
2017	J	`jnl`	Gaussian Quadrature for Kernel Features. CoRR Tri Dao, Christopher De Sa, Christopher Ré
2017	J	`jnl`	HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
2017	J	`jnl`	HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
2017	J	`jnl`	Incremental knowledge base construction using DeepDive. VLDB J. Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
2017	—	`conf`	Inferring Generative Model Structure with Static Analysis. NIPS Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré
2017	J	`jnl`	Inferring Generative Model Structure with Static Analysis. CoRR Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
2017	J	`jnl`	Infrastructure for Usable Machine Learning: The Stanford DAWN Project. CoRR Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2017	A*	`conf`	Learning the Structure of Generative Models without Labeled Data. ICML Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher Ré
2017	J	`jnl`	Learning the Structure of Generative Models without Labeled Data. CoRR Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher Ré
2017	—	`conf`	Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017	J	`jnl`	Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017	J	`jnl`	LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case. CoRR Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
2017	J	`jnl`	Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded. Proc. VLDB Endow. Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
2017	Misc	`conf`	Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. AMIA Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher Ré, Daniel L. Rubin, Michael Snyder
2017	J	`jnl`	Report from the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). SIGMOD Rec. Foto N. Afrati, Jan Hidders, Christopher Ré, Jacek Sroka, Jeffrey D. Ullman
2017	—	`conf`	SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. SIGMOD Conference Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2017	—	`conf`	ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information. MLHC Madalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp
2017	A	`conf`	Snorkel: A System for Lightweight Extraction. CIDR Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
2017	A	`conf`	Snorkel: Beyond Hand-labeled Data. UAI Christopher Ré
2017	—	`conf`	Snorkel: Fast Training Set Generation for Information Extraction. SIGMOD Conference Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher Ré
2017	J	`jnl`	Snorkel: Rapid Training Data Creation with Weak Supervision. CoRR Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
2017	J	`jnl`	Snorkel: Rapid Training Data Creation with Weak Supervision. Proc. VLDB Endow. Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré
2017	J	`jnl`	SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. CoRR Jason A. Fries, Sen Wu, Alexander Ratner, Christopher Ré
2017	A*	`conf`	Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. ISCA Christopher De Sa, Matthew Feldman, Christopher Ré, Kunle Olukotun
2017	J	`jnl`	Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning. J. Mach. Learn. Res. Jiyan Yang, Yin-Lam Chow, Christopher Ré, Michael W. Mahoney
2017	J	`jnl`	YellowFin and the Art of Momentum Tuning. CoRR Jian Zhang, Ioannis Mitliagkas, Christopher Ré
2016	A*	`conf`	AJAR: Aggregations and Joins over Annotated Relations. PODS Manas R. Joglekar, Rohan Puttagunta, Christopher Ré
2016	J	`jnl`	Asynchrony begets Momentum, with an Application to Deep Learning. CoRR Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré
2016	—	`conf`	Asynchrony begets momentum, with an application to deep learning. Allerton Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré
2016	J	`jnl`	CYCLADES: Conflict-free Asynchronous Machine Learning. CoRR Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht
2016	A*	`conf`	Dark Data: Are we solving the right problems? ICDE Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré
2016	—	`conf`	Data Programming: Creating Large Training Sets, Quickly. NIPS Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré
2016	J	`jnl`	Data Programming: Creating Large Training Sets, Quickly. CoRR Alexander Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré
2016	—	`conf`	Data programming with DDLite: putting humans in a different part of the loop. HILDA@SIGMOD Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher Ré
2016	J	`jnl`	DeepDive: Declarative Knowledge Base Construction. SIGMOD Rec. Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
2016	—	`conf`	EmptyHeaded: A Relational Engine for Graph Processing. SIGMOD Conference Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
2016	A*	`conf`	Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. ICML Christopher De Sa, Christopher Ré, Kunle Olukotun
2016	J	`jnl`	Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. CoRR Christopher De Sa, Kunle Olukotun, Christopher Ré
2016	—	`conf`	Extracting Databases from Dark Data with DeepDive. SIGMOD Conference Ce Zhang, Jaeho Shin, Christopher Ré, Michael J. Cafarella, Feng Niu
2016	A	`conf`	High Performance Parallel Stochastic Gradient Descent in Shared Memory. IPDPS Scott Sallinen, Nadathur Satish, Mikhail Smelyanskiy, Samantika S. Sury, Christopher Ré
2016	A	`conf`	It's All a Matter of Degree: Using Degree Information to Optimize Multiway Joins. ICDT Manas Joglekar, Christopher Ré
2016	J	`jnl`	Joins via Geometric Resolutions: Worst Case and Beyond. ACM Trans. Database Syst. Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra
2016	J	`jnl`	Large-scale extraction of gene interactions from full-text literature using DeepDive. Bioinform. Emily K. Mallory, Ce Zhang, Christopher Ré, Russ B. Altman
2016	J	`jnl`	Materialization Optimizations for Feature Selection Workloads. ACM Trans. Database Syst. Ce Zhang, Arun Kumar, Christopher Ré
2016	J	`jnl`	Old Techniques for New Join Algorithms: A Case Study in RDF Processing. CoRR Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
2016	—	`conf`	Old techniques for new join algorithms: A case study in RDF processing. ICDE Workshops Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
2016	J	`jnl`	Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs. CoRR Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Christopher Ré
2016	J	`jnl`	Parallel SGD: When does averaging help? CoRR Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2016	J	`jnl`	Recurrence Width for Structured Dense Matrix Vector Multiplication. CoRR Albert Gu, Rohan Puttagunta, Christopher Ré, Atri Rudra
2016	—	`conf`	Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much. NIPS Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2016	J	`jnl`	Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much. CoRR Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2016	J	`jnl`	Socratic Learning. CoRR Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré
2016	—	`conf`	Sub-sampled Newton Methods with Non-uniform Sampling. NIPS Peng Xu, Jiyan Yang, Farbod Roosta-Khorasani, Christopher Ré, Michael W. Mahoney
2016	J	`jnl`	The Beckman report on database research. Commun. ACM Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
2016	A*	`conf`	Weighted SGD for SODA Jiyan Yang, Yinlam Chow, Christopher Ré, Michael W. Mahoney
2016	—	`conf`	Wikipedia Knowledge Graph with DeepDive. Wiki@ICWSM Thomas Palomares, Youssef Ahres, Juhana Kangaspunta, Christopher Ré
2015	—	`conf`	A Database Framework for Classifier Engineering. AMW Benny Kimelfeld, Christopher Ré
2015	J	`jnl`	Aggregations over Generalized Hypertree Decompositions. CoRR Manas Joglekar, Rohan Puttagunta, Christopher Ré
2015	J	`jnl`	An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2015	—	`conf`	Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care. NIPS Sorathan Chaturapruek, John C. Duchi, Christopher Ré
2015	J	`jnl`	Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. CoRR Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei
2015	—	`conf`	Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. DanaC@SIGMOD Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré
2015	J	`jnl`	Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. CoRR Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré
2015	—	`conf`	DunceCap: Compiling Worst-Case Optimal Query Plans. SIGMOD Conference Adam Perelman, Christopher Ré
2015	—	`conf`	DunceCap: Query Plans Using Generalized Hypertree Decompositions. SIGMOD Conference Susan Tu, Christopher Ré
2015	J	`jnl`	EmptyHeaded: Boolean Algebra Based Graph Processing. CoRR Christopher R. Aberger, Andres Nötzli, Kunle Olukotun, Christopher Ré
2015	J	`jnl`	Energy-Efficient Abundant-Data Computing: The N3XT 1, 000x. Computer Mohamed M. Sabry, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeffrey Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor L. Markov, Kunle Olukotun, Larry T. Pileggi, Eric Pop, Jan M. Rabaey, Christopher Ré, H.-S. Philip Wong, Subhasish Mitra
2015	—	`conf`	Exploiting Correlations for Expensive Predicate Evaluation. SIGMOD Conference Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2015	J	`jnl`	Exploiting Features for Data Source Quality Estimation. CoRR Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2015	A*	`conf`	Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems. ICML Christopher De Sa, Christopher Ré, Kunle Olukotun
2015	J	`jnl`	Incremental Knowledge Base Construction Using DeepDive. CoRR Sen Wu, Ce Zhang, Feiran Wang, Christopher Ré
2015	J	`jnl`	Incremental Knowledge Base Construction Using DeepDive. Proc. VLDB Endow. Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, Christopher Ré
2015	J	`jnl`	It's all a matter of degree: Using degree information to optimize multiway joins. CoRR Manas Joglekar, Christopher Ré
2015	—	`conf`	Jedi: A Storage Manager for SIMD-aware, Worst-case Optimal Join Processing. EDBT/ICDT Workshops Christopher Ré
2015	—	`conf`	Join Processing for Graph Patterns: An Old Dog with New Tricks. GRADES@SIGMOD/PODS Dung T. Nguyen, Molham Aref, Martin Bravenboer, George Kollias, Hung Q. Ngo, Christopher Ré, Atri Rudra
2015	J	`jnl`	Join Processing for Graph Patterns: An Old Dog with New Tricks. CoRR Dung T. Nguyen, Molham Aref, Martin Bravenboer, George Kollias, Hung Q. Ngo, Christopher Ré, Atri Rudra
2015	A*	`conf`	Joins via Geometric Resolutions: Worst-case and Beyond. PODS Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra
2015	—	`conf`	Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? SIGMOD Conference Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan
2015	J	`jnl`	Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction. Proc. VLDB Endow. Jaeho Shin, Christopher Ré, Michael J. Cafarella
2015	—	`conf`	Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. NIPS Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
2015	J	`jnl`	Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. CoRR Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
2015	J	`jnl`	Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms. CoRR Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
2015	—	`conf`	Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms. NIPS Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
2015	J	`jnl`	The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility. J. Am. Medical Informatics Assoc. Joy P. Ku, Jennifer L. Hicks, Trevor Hastie, Jure Leskovec, Christopher Ré, Scott L. Delp
2014	J	`jnl`	A machine-compiled macroevolutionary history of Phanerozoic life. CoRR Shanan Peters, Ce Zhang, Miron Livny, Christopher Ré
2014	A*	`conf`	An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2014	J	`jnl`	Approximation trade-offs in a Markovian stream warehouse: An empirical study. Inf. Syst. Julie Letchner, Magdalena Balazinska, Christopher Ré, Matthai Philipose
2014	A*	`conf`	Beyond worst-case analysis for joins with minesweeper. PODS Hung Q. Ngo, Dung T. Nguyen, Christopher Ré, Atri Rudra
2014	J	`jnl`	DimmWitted: A Study of Main-Memory Statistical Analytics. CoRR Ce Zhang, Christopher Ré
2014	J	`jnl`	DimmWitted: A Study of Main-Memory Statistical Analytics. Proc. VLDB Endow. Ce Zhang, Christopher Ré
2014	B	`conf`	Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. ILP Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik
2014	J	`jnl`	Exploiting Correlations for Expensive Predicate Evaluation. CoRR Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2014	J	`jnl`	Feature Engineering for Knowledge Base Construction. CoRR Ce Zhang, Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu
2014	J	`jnl`	Feature Engineering for Knowledge Base Construction. IEEE Data Eng. Bull. Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang
2014	J	`jnl`	GYM: A Multiround Join Algorithm In MapReduce. CoRR Foto N. Afrati, Manas Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman
2014	J	`jnl`	Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems. CoRR Christopher De Sa, Kunle Olukotun, Christopher Ré
2014	J	`jnl`	Joins via Geometric Resolutions: Worst-case and Beyond. CoRR Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra
2014	A	`conf`	Links between Join Processing and Convex Geometry. ICDT Christopher Ré
2014	—	`conf`	Materialization optimizations for feature selection workloads. SIGMOD Conference Ce Zhang, Arun Kumar, Christopher Ré
2014	—	`conf`	Parallel Feature Selection Inspired by Group Testing. NIPS Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, XuanLong Nguyen, Christopher Ré, Venu Govindaraju
2014	J	`jnl`	The Beckman Report on Database Research. SIGMOD Rec. Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
2014	A	`conf`	The Theory of Zeta Graphs with an Application to Random Networks. ICDT Christopher Ré
2014	—	`conf`	Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted. IMDM@VLDB Victor Bittorf, Marcel Kornacker, Christopher Ré, Ce Zhang
2014	J	`jnl`	Transducing Markov sequences. J. ACM Benny Kimelfeld, Christopher Ré
2013	—	`conf`	A Tutorial on Trained Systems: A New Generation of Data Management Systems? BNCOD Christopher Ré
2013	—	`conf`	An Approximate, Efficient LP Solver for LP Rounding. NIPS Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang
2013	J	`jnl`	An Approximate, Efficient Solver for LP Rounding. CoRR Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright
2013	—	`conf`	Bootstrapping Knowledge Base Acceleration. TREC Tushar Khot, Ce Zhang, Jude W. Shavlik, Sriraam Natarajan, Christopher Ré
2013	A	`conf`	Brainwash: A Data System for Feature Engineering. CIDR Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
2013	—	`conf`	Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. TREC John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff
2013	J	`jnl`	Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System. Proc. VLDB Endow. Pradap Konda, Arun Kumar, Christopher Ré, Vaishnavi Sashikanth
2013	—	`conf`	GeoDeepDive: statistical inference using familiar data-processing languages. SIGMOD Conference Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher Ré, Shanan Peters
2013	J	`jnl`	Hazy: Making it Easier to Build and Maintain Big-data Analytics. ACM Queue Arun Kumar, Feng Niu, Christopher Ré
2013	J	`jnl`	Hazy: making it easier to build and maintain big-data analytics. Commun. ACM Arun Kumar, Feng Niu, Christopher Ré
2013	J	`jnl`	Parallel stochastic gradient algorithms for large-scale matrix completion. Math. Program. Comput. Benjamin Recht, Christopher Ré
2013	J	`jnl`	Probabilistic Web Data Management. World Wide Web Lei Chen, Ihab F. Ilyas, Christopher Ré, Xiaofang Zhou
2013	J	`jnl`	Ringtail: A Generalized Nowcasting System. Proc. VLDB Endow. Dolan Antenucci, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, Christopher Ré
2013	—	`conf`	Ringtail: Feature Selection For Easier Nowcasting. WebDB Dolan Antenucci, Michael J. Cafarella, Margaret Levenstein, Christopher Ré, Matthew D. Shapiro
2013	J	`jnl`	Skew Strikes Back: New Developments in the Theory of Join Algorithms. CoRR Hung Q. Ngo, Christopher Ré, Atri Rudra
2013	J	`jnl`	Skew strikes back: new developments in the theory of join algorithms. SIGMOD Rec. Hung Q. Ngo, Christopher Ré, Atri Rudra
2013	J	`jnl`	Towards Instance Optimal Join Algorithms for Data in Indexes CoRR Hung Q. Ngo, Dung T. Nguyen, Christopher Ré, Atri Rudra
2013	—	`conf`	Towards high-throughput gibbs sampling at scale: a study across storage managers. SIGMOD Conference Ce Zhang, Christopher Ré
2013	—	`conf`	Understanding Tables in Context Using Standard NLP Toolkits. ACL (2) Vidhya Govindaraju, Ce Zhang, Christopher Ré
2013	—	`conf`	Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. StarAI@AAAI Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik
2012	—	`conf`	Big Data versus the Crowd: Looking for Relationships in All the Right Places. ACL (1) Ce Zhang, Feng Niu, Christopher Ré, Jude W. Shavlik
2012	—	`conf`	Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. TREC John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff
2012	—	`conf`	DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. VLDS Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik
2012	J	`jnl`	Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference. Int. J. Semantic Web Inf. Syst. Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik
2012	J	`jnl`	Factoring nonnegative matrices with linear programs CoRR Victor Bittorf, Benjamin Recht, Christopher Ré, Joel A. Tropp
2012	—	`conf`	Factoring nonnegative matrices with linear programs. NIPS Ben Recht, Christopher Ré, Joel A. Tropp, Victor Bittorf
2012	A*	`conf`	Optimizing Statistical Information Extraction Programs over Evolving Text. ICDE Fei Chen, Xixuan Feng, Christopher Ré, Min Wang
2012	A*	`conf`	Scaling Inference for Markov Logic via Dual Decomposition. ICDM Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik
2012	J	`jnl`	The MADlib Analytics Library or MAD Skills, the SQL CoRR Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar
2012	J	`jnl`	The MADlib Analytics Library or MAD Skills, the SQL. Proc. VLDB Endow. Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar
2012	A*	`conf`	Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences. COLT Benjamin Recht, Christopher Ré
2012	J	`jnl`	Towards a Unified Architecture for in-RDBMS Analytics CoRR Xixuan Feng, Arun Kumar, Ben Recht, Christopher Ré
2012	—	`conf`	Towards a unified architecture for in-RDBMS analytics. SIGMOD Conference Xixuan Feng, Arun Kumar, Benjamin Recht, Christopher Ré
2012	J	`jnl`	Understanding cardinality estimation using entropy maximization. ACM Trans. Database Syst. Christopher Ré, Dan Suciu
2012	J	`jnl`	Worst-case Optimal Join Algorithms CoRR Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra
2012	A*	`conf`	Worst-case optimal join algorithms: [extended abstract]. PODS Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra
2011	J	`jnl`	Automatic Optimization for MapReduce Programs CoRR Eaman Jahani, Michael J. Cafarella, Christopher Ré
2011	J	`jnl`	Automatic Optimization for MapReduce Programs. Proc. VLDB Endow. Eaman Jahani, Michael J. Cafarella, Christopher Ré
2011	J	`jnl`	Felix: Scaling Inference for Markov Logic with an Operator-based Approach CoRR Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik
2011	J	`jnl`	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent CoRR Feng Niu, Benjamin Recht, Christopher Ré, Stephen J. Wright
2011	—	`conf`	Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. NIPS Benjamin Recht, Christopher Ré, Stephen J. Wright, Feng Niu
2011	J	`jnl`	Incrementally Maintaining Classification using an RDBMS CoRR Mehmet Levent Koc, Christopher Ré
2011	J	`jnl`	Incrementally maintaining classification using an RDBMS. Proc. VLDB Endow. Mehmet Levent Koc, Christopher Ré
2011	—	`book`	Probabilistic Databases Dan Suciu, Dan Olteanu, Christopher Ré, Christoph Koch
2011	J	`jnl`	Probabilistic Management of OCR Data using an RDBMS CoRR Arun Kumar, Christopher Ré
2011	J	`jnl`	Probabilistic Management of OCR Data using an RDBMS. Proc. VLDB Endow. Arun Kumar, Christopher Ré
2011	J	`jnl`	Queries and materialized views on probabilistic databases. J. Comput. Syst. Sci. Nilesh N. Dalvi, Christopher Ré, Dan Suciu
2011	J	`jnl`	Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS CoRR Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik
2011	J	`jnl`	Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. Proc. VLDB Endow. Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik
2010	A*	`conf`	Approximation trade-offs in Markovian stream processing: An empirical study. ICDE Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose
2010	—	`conf`	Manimal: Relational Optimization for Data-Intensive Programs. WebDB Michael J. Cafarella, Christopher Ré
2010	A*	`conf`	Transducing Markov sequences. PODS Benny Kimelfeld, Christopher Ré
2010	A*	`conf`	Understanding cardinality estimation using entropy maximization. PODS Christopher Ré, Dan Suciu
2009	A*	`conf`	Access Methods for Markovian Streams. ICDE Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose
2009	—	`conf`	General Database Statistics Using Entropy Maximization. DBPL Raghav Kaushik, Christopher Ré, Dan Suciu
2009	J	`jnl`	Lahar Demonstration: Warehousing Markovian Streams. Proc. VLDB Endow. Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose
2009	A*	`conf`	Large-Scale Deduplication with Constraints Using Dedupalog. ICDE Arvind Arasu, Christopher Ré, Dan Suciu
2009	J	`jnl`	Probabilistic databases: diamonds in the dirt. Commun. ACM Nilesh N. Dalvi, Christopher Ré, Dan Suciu
2009	—	`conf`	Query Containment of Tier-2 Queries over a Probabilistic Database. MUD Katherine F. Moore, Vibhor Rastogi, Christopher Ré, Dan Suciu
2009	J	`jnl`	Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha
2009	J	`jnl`	The trichotomy of HAVING queries on a probabilistic database. VLDB J. Christopher Ré, Dan Suciu
2008	—	`conf`	08421 Working Group: Report of the Probabilistic Databases Benchmarking. Uncertainty Management in Information Systems Christoph Koch, Peter J. Haas, Hans-Joachim Lenz, Dan Olteanu, Christopher Ré, Maurice van Keulen, Jeff Z. Pan
2008	—	`conf`	A demonstration of Cascadia through a digital diary application. SIGMOD Conference Nodira Khoussainova, Evan Welbourne, Magdalena Balazinska, Gaetano Borriello, Garrett Cole, Julie Letchner, Yang Li, Christopher Ré, Dan Suciu, Jordan Walke
2008	J	`jnl`	Approximate lineage for probabilistic databases. Proc. VLDB Endow. Christopher Ré, Dan Suciu
2008	J	`jnl`	Challenges for Event Queries over Markovian Streams. IEEE Internet Comput. Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose
2008	—	`conf`	Event queries on correlated probabilistic streams. SIGMOD Conference Christopher Ré, Julie Letchner, Magdalena Balazinska, Dan Suciu
2008	—	`conf`	Implementing NOT EXISTS Predicates over a Probabilistic Database. QDB/MUD Ting-You Wang, Christopher Ré, Dan Suciu
2008	—	`conf`	Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can't-Do. SUM Christopher Ré, Dan Suciu
2008	J	`jnl`	Systems aspects of probabilistic data management. Proc. VLDB Endow. Magdalena Balazinska, Christopher Ré, Dan Suciu
2007	—	`conf`	Efficient Evaluation of. DBPL Christopher Ré, Dan Suciu
2007	A*	`conf`	Efficient Top-k Query Evaluation on Probabilistic Data. ICDE Christopher Ré, Nilesh N. Dalvi, Dan Suciu
2007	A	`conf`	Management of data with uncertainties. CIKM Christopher Ré, Dan Suciu
2007	J	`jnl`	Managing Uncertainty in Social Networks. IEEE Data Eng. Bull. Eytan Adar, Christopher Ré
2007	A*	`conf`	Materialized Views in Probabilistic Databases for Information Exchange and Query Optimization. VLDB Christopher Ré, Dan Suciu
2007	A	`conf`	Structured Querying of Web Text Data: A Technical Challenge. CIDR Michael J. Cafarella, Christopher Ré, Dan Suciu, Oren Etzioni
2006	A*	`conf`	A Complete and Efficient Algebraic Compiler for XQuery. ICDE Christopher Ré, Jérôme Siméon, Mary F. Fernández
2006	J	`jnl`	Query Evaluation on Probabilistic Databases. IEEE Data Eng. Bull. Christopher Ré, Nilesh N. Dalvi, Dan Suciu
2006	—	`conf`	XQuery!: An XML Query Language with Side Effects. EDBT Workshops Giorgio Ghelli, Christopher Ré, Jérôme Siméon
2005	—	`conf`	A Framework for XML-Based Integration of Data, Visualization and Analysis in a Biomedical Domain. XSym Nathan Bales, James F. Brinkley, E. Sally Lee, Shobhit Mathur, Christopher Ré, Dan Suciu
2005	—	`conf`	MYSTIQ: a system for finding more answers by using probabilities. SIGMOD Conference Jihad Boulos, Nilesh N. Dalvi, Bhushan Mandhani, Shobhit Mathur, Christopher Ré, Dan Suciu
2005	A	`conf`	Supporting workflow in a course management system. SIGCSE Chavdar Botev, Hubert Chao, Theodore Chao, Yim Cheng, Raymond Doyle, Sergey Grankin, Jon Guarino, Saikat Guha, Pei-Chen Lee, Dan Perry, Christopher Ré, Ilya Rifkin, Tingyan Yuan, Dora Abdullah, Kathy Carpenter, David Gries, Dexter Kozen, Andrew C. Myers, David I. Schwartz, Jayavel Shanmugasundaram
2003	—	`conf`	WS-Membership - Failure Management in a Web-Services World. WWW (Alternate Paper Tracks) Werner Vogels, Christopher Ré
2002	—	`conf`	A Collaborative Infrastructure for Scalable and Robust News Delivery. ICDCS Workshops Werner Vogels, Christopher Ré, Robbert van Renesse, Kenneth P. Birman