Sewoong Oh - RankMe

281 papers A* 67A 4B 7Misc 2Journal 167Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model. CoRR Jacqueline He, Jonathan Hayase, Wen-tau Yih, Sewoong Oh, Luke Zettlemoyer, Pang Wei Koh
2026	J	`jnl`	Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch. CoRR Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan, Rui Xin, Shuyue Stella Li, Jaehun Jung, David Acuna, Qi Pang, Hanshen Xiao, G. Edward Suh, Sewoong Oh, Yulia Tsvetkov, Pang Wei Koh, Yejin Choi
2026	J	`jnl`	ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems. CoRR Salaheddin Alzubi, Baran Nama, Arda Kaz, Anushri Eswaran, Weiyuan Chen, Sarvesh Khetan, Rishab Bala, Tu Vu, Sewoong Oh
2025	J	`jnl`	A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage. CoRR Rui Xin, Niloofar Mireshghallah, Shuyue Stella Li, Michael Duan, Hyunwoo Kim, Yejin Choi, Yulia Tsvetkov, Sewoong Oh, Pang Wei Koh
2025	—	`ed.`	Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2025, Stony Brook, NY, USA, June 9-13, 2025 SIGMETRICS (Abstracts) Anshul Gandhi, Zhenhua Liu, Sewoong Oh, Ramesh K. Sitaraman, Benny Van Houdt
2025	J	`jnl`	Are Robust LLM Fingerprints Adversarially Robust? CoRR Anshul Nasery, Edoardo Contente, Alkin Kaz, Pramod Viswanath, Sewoong Oh
2025	J	`jnl`	CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models. CoRR Lucas Irwin, Arda Kaz, Peiyao Sheng, Sewoong Oh, Pramod Viswanath
2025	J	`jnl`	Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion. Trans. Mach. Learn. Res. Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti
2025	J	`jnl`	Concept-Aware Batch Sampling Improves Language-Image Pretraining. CoRR Adhiraj Ghosh, Vishaal Udandarao, Thao Nguyen, Matteo Farina, Mehdi Cherti, Jenia Jitsev, Sewoong Oh, Elisa Ricci, Ludwig Schmidt, Matthias Bethge
2025	J	`jnl`	Economics of Sourcing Human Data. CoRR Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey Allen, Sewoong Oh
2025	A*	`conf`	Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents. ICML Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff
2025	J	`jnl`	Foundation model for mass spectrometry proteomics. CoRR Justin Sanders, Melih Yilmaz, Jacob H. Russell, Wout Bittremieux, William Fondrie, Nicholas M. Riley, Sewoong Oh, William Stafford Noble
2025	J	`jnl`	Open Deep Search: Democratizing Search with Open-source Reasoning Agents. CoRR Salaheddin Alzubi, Creston Brooks, Purva Chiniya, Edoardo Contente, Chiara von Gerlach, Lucas Irwin, Yihan Jiang, Arda Kaz, Windsor Nguyen, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	A*	`conf`	PLeaS - Merging Models with Permutations and Least Squares. CVPR Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh
2025	J	`jnl`	POMACS V9, N1, March 2025 Editorial. Proc. ACM Meas. Anal. Comput. Syst. Sewoong Oh, Ramesh K. Sitaraman, Benny Van Houdt
2025	J	`jnl`	POMACS V9, N2, June 2025 Editorial. Proc. ACM Meas. Anal. Comput. Syst. Sewoong Oh, Ramesh K. Sitaraman, Benny Van Houdt
2025	—	`conf`	Position: When Incentives Backfire, Data Stops Being Human. ICML (Position Papers) Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R. Allen, Sewoong Oh
2025	J	`jnl`	Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models. CoRR Thao Nguyen, Yang Li, Olga Golovneva, Luke Zettlemoyer, Sewoong Oh, Ludwig Schmidt, Xian Li
2025	J	`jnl`	S4S: Solving for a Diffusion Model Solver. CoRR Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff, Sewoong Oh
2025	A*	`conf`	S4S: Solving for a Fast Diffusion Model Solver. ICML Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff, Sewoong Oh
2025	J	`jnl`	Sampling from Your Language Model One Byte at a Time. CoRR Jonathan Hayase, Alisa Liu, Noah A. Smith, Sewoong Oh
2025	J	`jnl`	Scalable Fingerprinting of Large Language Models. CoRR Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh
2025	J	`jnl`	Spurious Rewards: Rethinking Training Signals in RLVR. CoRR Rulin Shao, Shuyue Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Shaolei Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, Luke Zettlemoyer
2025	J	`jnl`	SuperBPE: Space Travel for Language Models. CoRR Alisa Liu, Jonathan Hayase, Valentin Hofmann, Sewoong Oh, Noah A. Smith, Yejin Choi
2025	J	`jnl`	Training AI to be Loyal. CoRR Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2025	J	`jnl`	Understanding the Gain from Data Filtering in Multimodal Contrastive Learning. CoRR Divyansh Pareek, Sewoong Oh, Simon S. Du
2025	J	`jnl`	Zeroth-Order Optimization Finds Flat Minima. CoRR Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
2024	J	`jnl`	A learned score function improves the power of mass spectrometry database search. Bioinform. Varun Ananth, Justin Sanders, Melih Yilmaz, Bo Wen, Sewoong Oh, William Stafford Noble
2024	J	`jnl`	Air Gap: Protecting Privacy-Conscious Conversational Agents. CoRR Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024	A*	`conf`	AirGapAgent: Protecting Privacy-Conscious Conversational Agents. CCS Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024	—	`conf`	Better Alignment with Instruction Back-and-Forth Translation. EMNLP (Findings) Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li
2024	J	`jnl`	Better Alignment with Instruction Back-and-Forth Translation. CoRR Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li
2024	—	`conf`	Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL-HLT (Findings) Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2024	A*	`conf`	DPZero: Private Fine-Tuning of Language Models without Backpropagation. ICML Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
2024	A*	`conf`	Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions. NeurIPS Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith
2024	J	`jnl`	Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? CoRR Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith
2024	A*	`conf`	DataComp-LM: In search of the next generation of training sets for language models. NeurIPS Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	DataComp-LM: In search of the next generation of training sets for language models. CoRR Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	A*	`conf`	DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. ICML S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
2024	J	`jnl`	DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. CoRR S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
2024	J	`jnl`	Improved Communication-Privacy Trade-offs in L CoRR Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	A*	`conf`	Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. ICML Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	A*	`conf`	Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. COLT Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
2024	J	`jnl`	Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. CoRR Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
2024	A*	`conf`	Multilingual Diversity Improves Vision-Language Representations. NeurIPS Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei W. Koh, Ranjay Krishna
2024	J	`jnl`	Multilingual Diversity Improves Vision-Language Representations. CoRR Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna
2024	J	`jnl`	OML: Open, Monetizable, and Loyal AI. CoRR Zerui Cheng, Edoardo Contente, Ben Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sandeep Nailwal, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2024	J	`jnl`	OML: Open, Monetizable, and Loyal AI. IACR Cryptol. ePrint Arch. Zerui Cheng, Edoardo Contente, Ben Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sandeep Nailwal, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath
2024	J	`jnl`	On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune? CoRR Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh
2024	A*	`conf`	One-shot Empirical Privacy Estimation for Federated Learning. ICLR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar
2024	J	`jnl`	PLeaS - Merging Models with Permutations and Least Squares. CoRR Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh
2024	J	`jnl`	POMACS V8, N3, December 2024 Editorial. Proc. ACM Meas. Anal. Comput. Syst. Sewoong Oh, Ramesh K. Sitaraman, Benny Van Houdt
2024	A*	`conf`	Privacy-Preserving Instructions for Aligning Large Language Models. ICML Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu
2024	J	`jnl`	Privacy-Preserving Instructions for Aligning Large Language Models. CoRR Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu
2024	J	`jnl`	Randomization Techniques to Mitigate the Risk of Copyright Infringement. CoRR Wei-Ning Chen, Peter Kairouz, Sewoong Oh, Zheng Xu
2024	J	`jnl`	Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning. CoRR Marshall Ball, James Bell-Clark, Adrià Gascón, Peter Kairouz, Sewoong Oh, Zhiye Xie
2024	J	`jnl`	Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning. IACR Cryptol. ePrint Arch. Marshall Ball, James Bell-Clark, Adrià Gascón, Peter Kairouz, Sewoong Oh, Zhiye Xie
2024	A*	`conf`	Understanding the Gains from Repeated Self-Distillation. NeurIPS Divyansh Pareek, Simon S. Du, Sewoong Oh
2024	J	`jnl`	Understanding the Gains from Repeated Self-Distillation. CoRR Divyansh Pareek, Simon S. Du, Sewoong Oh
2023	A*	`conf`	CRISP: Curriculum based Sequential neural decoders for Polar code family. ICML S. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath
2023	J	`jnl`	Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2023	J	`jnl`	Challenges towards the Next Frontier in Privacy. CoRR Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang
2023	J	`jnl`	DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization. CoRR Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
2023	A*	`conf`	DataComp: In search of the next generation of multimodal datasets. NeurIPS Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	J	`jnl`	DataComp: In search of the next generation of multimodal datasets. CoRR Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	A*	`conf`	Few-shot Backdoor Attacks via Neural Tangent Kernels. ICLR Jonathan Hayase, Sewoong Oh
2023	J	`jnl`	Improving Multimodal Datasets with Image Captioning. CoRR Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt
2023	A*	`conf`	Improving multimodal datasets with image captioning. NeurIPS Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt
2023	A*	`conf`	Label Poisoning is All You Need. NeurIPS Rishi D. Jha, Jonathan Hayase, Sewoong Oh
2023	J	`jnl`	Label Poisoning is All You Need. CoRR Rishi D. Jha, Jonathan Hayase, Sewoong Oh
2023	A*	`conf`	Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency. NeurIPS Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
2023	A*	`conf`	Learning to Generate Image Embeddings with User-Level Differential Privacy. CVPR Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
2023	J	`jnl`	MAUVE Scores for Generative Models: Theory and Practice. J. Mach. Learn. Res. Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2023	J	`jnl`	Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes. CoRR Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2023	J	`jnl`	Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes. IEEE J. Sel. Areas Inf. Theory Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2023	J	`jnl`	Near Optimal Private and Robust Linear Regression. CoRR Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
2023	A*	`conf`	On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. NeurIPS Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
2023	J	`jnl`	On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. CoRR Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi
2023	J	`jnl`	One-shot Empirical Privacy Estimation for Federated Learning. CoRR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith M. Suriyakumar
2023	A*	`conf`	Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks. NeurIPS Daogao Liu, Arun Ganesh, Sewoong Oh, Abhradeep Guha Thakurta
2023	J	`jnl`	Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks. CoRR Arun Ganesh, Daogao Liu, Sewoong Oh, Abhradeep Thakurta
2023	A*	`conf`	Private Federated Learning with Autotuned Compression. ICML Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
2023	J	`jnl`	Private Federated Learning with Autotuned Compression. CoRR Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
2023	J	`jnl`	Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. CoRR Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim
2023	J	`jnl`	Towards a Defense Against Federated Backdoor Attacks Under Continuous Training. Trans. Mach. Learn. Res. Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh
2023	A*	`conf`	Unleashing the Power of Randomization in Auditing Differentially Private ML. NeurIPS Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
2023	J	`jnl`	Unleashing the Power of Randomization in Auditing Differentially Private ML. CoRR Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
2023	A*	`conf`	Why Is Public Pretraining Necessary for Private Model Training? ICML Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang
2023	J	`jnl`	Why Is Public Pretraining Necessary for Private Model Training? CoRR Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Thakurta, Lun Wang
2022	A*	`conf`	Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. NeurIPS Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
2022	J	`jnl`	Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. CoRR Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
2022	J	`jnl`	CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family. CoRR S. Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath
2022	A*	`conf`	DP-PCA: Statistically Optimal and Differentially Private PCA. NeurIPS Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh
2022	J	`jnl`	DP-PCA: Statistically Optimal and Differentially Private PCA. CoRR Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh
2022	A*	`conf`	De novo mass spectrometry peptide sequencing with a transformer model. ICML Melih Yilmaz, William Fondrie, Wout Bittremieux, Sewoong Oh, William S. Noble
2022	A*	`conf`	Differential privacy and robust statistics in high dimensions. COLT Xiyang Liu, Weihao Kong, Sewoong Oh
2022	A*	`conf`	Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. ICLR Xingyu Wang, Sewoong Oh, Chang-Han Rhee
2022	A*	`conf`	FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. ICLR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2022	J	`jnl`	Few-shot Backdoor Attacks via Neural Tangent Kernels. CoRR Jonathan Hayase, Sewoong Oh
2022	J	`jnl`	Learning to Generate Image Embeddings with User-level Differential Privacy. CoRR Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
2022	A	`conf`	Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. AISTATS Kiran Koshy Thekumparampil, Niao He, Sewoong Oh
2022	J	`jnl`	Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. CoRR Kiran Koshy Thekumparampil, Niao He, Sewoong Oh
2022	A*	`conf`	MAML and ANIL Provably Learn Representations. ICML Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2022	J	`jnl`	MAML and ANIL Provably Learn Representations. CoRR Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2022	J	`jnl`	MAUVE Scores for Generative Models: Theory and Practice. CoRR Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2022	—	`conf`	Proof-of-Stake Longest Chain Protocols: Security vs Predictability. ConsensusDay@CCS Vivek Kumar Bagaria, Amir Dembo, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni
2022	A*	`conf`	Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. NeurIPS Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt
2022	J	`jnl`	Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. CoRR Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt
2022	J	`jnl`	Stochastic optimization on matrices and a graphon McKean-Vlasov limit. CoRR Zaïd Harchaoui, Sewoong Oh, Soumik Pal, Raghav Somani, Raghavendra Tripathi
2022	J	`jnl`	Towards a Defense against Backdoor Attacks in Continual Federated Learning. CoRR Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh
2022	A*	`conf`	Zonotope Domains for Lagrangian Neural Network Verification. NeurIPS Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh
2022	J	`jnl`	Zonotope Domains for Lagrangian Neural Network Verification. CoRR Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis, Sewoong Oh
2021	A*	`conf`	Defense against backdoor attacks via robust covariance estimation. ICML Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
2021	J	`jnl`	Differential privacy and robust statistics in high dimensions. CoRR Xiyang Liu, Weihao Kong, Sewoong Oh
2021	A*	`conf`	Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals. NeurIPS Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2021	J	`jnl`	Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral. CoRR Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2021	J	`jnl`	Efficient Algorithms for Federated Saddle Point Optimization. CoRR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2021	J	`jnl`	Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. CoRR Xingyu Wang, Sewoong Oh, Chang-Han Rhee
2021	A*	`conf`	Gradient Inversion with Generative Image Prior. NeurIPS Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
2021	J	`jnl`	Gradient Inversion with Generative Image Prior. CoRR Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
2021	J	`jnl`	Gradient flows on graphons: existence, convergence, continuity equations. CoRR Sewoong Oh, Soumik Pal, Raghav Somani, Raghav Tripathi
2021	J	`jnl`	KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning. CoRR Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2021	A*	`conf`	KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning. ICML Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2021	J	`jnl`	Reducing the Communication Cost of Federated Learning through Multistage Optimization. CoRR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2021	B	`conf`	Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. ISIT Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2021	J	`jnl`	Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. CoRR Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
2021	J	`jnl`	Robust and Differentially Private Mean Estimation. CoRR Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh
2021	A*	`conf`	Robust and differentially private mean estimation. NeurIPS Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh
2021	J	`jnl`	SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. CoRR Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
2021	J	`jnl`	Sample Efficient Linear Meta-Learning by Alternating Minimization. CoRR Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2021	A*	`conf`	Statistically and Computationally Efficient Linear Meta-representation Learning. NeurIPS Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2020	J	`jnl`	Deepcode and Modulo-SK are Designed for Different Settings. CoRR Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020	J	`jnl`	Deepcode: Feedback Codes via Deep Learning. IEEE J. Sel. Areas Inf. Theory Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020	Misc	`conf`	Feedback Turbo Autoencoder. ICASSP Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2020	J	`jnl`	Guest Editorial. IEEE J. Sel. Areas Inf. Theory Richard G. Baraniuk, Alex Dimakis, Negar Kiyavash, Sewoong Oh, Rebecca Willett
2020	A*	`conf`	InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. ICML Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2020	—	`conf`	Joint Channel Coding and Modulation via Deep Learning. SPAWC Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020	J	`jnl`	LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. IEEE J. Sel. Areas Inf. Theory Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020	A	`conf`	Learning in Gated Neural Networks. AISTATS Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2020	A*	`conf`	Meta-learning for Mixed Linear Regression. ICML Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh
2020	J	`jnl`	Meta-learning for mixed linear regression. CoRR Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh
2020	A*	`conf`	Optimal transport mapping via input convex neural networks. ICML Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
2020	J	`jnl`	PacGAN: The Power of Two Samples in Generative Adversarial Networks. IEEE J. Sel. Areas Inf. Theory Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2020	J	`jnl`	Physical Layer Communication via Deep Learning. IEEE J. Sel. Areas Inf. Theory Hyeji Kim, Sewoong Oh, Pramod Viswanath
2020	—	`conf`	Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. SIGMETRICS (Abstracts) Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh
2020	J	`jnl`	Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. Proc. ACM Meas. Anal. Comput. Syst. Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh
2020	A*	`conf`	Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. NeurIPS Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2020	J	`jnl`	Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. CoRR Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2020	A*	`conf`	Robust Meta-learning for Mixed Linear Regression with Small Batches. NeurIPS Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh
2020	J	`jnl`	Robust Meta-learning for Mixed Linear Regression with Small Batches. CoRR Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh
2019	B	`conf`	Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains. MobiHoc Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
2019	J	`jnl`	Barracuda: The Power of 𝓁-polling in Proof-of-Stake Blockchains. CoRR Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
2019	A*	`conf`	Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms. ICML Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh
2019	—	`conf`	Compounding of Wealth in Proof-of-Stake Cryptocurrencies. Financial Cryptography Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang
2019	—	`conf`	DEEPTURBO: Deep Turbo Decoder. SPAWC Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath
2019	J	`jnl`	DeepTurbo: Deep Turbo Decoder. CoRR Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019	A*	`conf`	Efficient Algorithms for Smooth Minimax Optimization. NeurIPS Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2019	J	`jnl`	Efficient Algorithms for Smooth Minimax Optimization. CoRR Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
2019	J	`jnl`	InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers. CoRR Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2019	A	`conf`	Iterative Bayesian Learning for Crowdsourced Regression. AISTATS Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi
2019	—	`conf`	LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. ICC Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019	A	`conf`	Learning One-hidden-layer Neural Networks under General Input Distributions. AISTATS Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
2019	J	`jnl`	Learning in Gated Neural Networks. CoRR Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2019	A*	`conf`	Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases. NeurIPS Xiyang Liu, Sewoong Oh
2019	J	`jnl`	Minimax Rates of Estimating Approximate Differential Privacy. CoRR Xiyang Liu, Sewoong Oh
2019	J	`jnl`	Optimal transport mapping via input convex neural networks. CoRR Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
2019	J	`jnl`	Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. CoRR Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh
2019	J	`jnl`	Proof-of-Stake Longest Chain Protocols Revisited. CoRR Xuechao Wang, Govinda M. Kamath, Vivek Kumar Bagaria, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath
2019	A*	`conf`	Rate Distortion For Model Compression: From Theory To Practice. ICML Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh
2019	J	`jnl`	Robust conditional GANs under missing or uncertain labels. CoRR Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan
2019	J	`jnl`	Spectrum Estimation from a Few Entries. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2019	A*	`conf`	Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. NeurIPS Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019	J	`jnl`	Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. CoRR Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Attention-based Graph Neural Network for Semi-supervised Learning. CoRR Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
2018	J	`jnl`	Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. IEEE Trans. Inf. Theory Weihao Gao, Sewoong Oh, Pramod Viswanath
2018	—	`conf`	Communication Algorithms via Deep Learning. ICLR (Poster) Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Communication Algorithms via Deep Learning. CoRR Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Compounding of Wealth in Proof-of-Stake Cryptocurrencies. CoRR Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang
2018	A*	`conf`	Deepcode: Feedback Codes via Deep Learning. NeurIPS Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Deepcode: Feedback Codes via Deep Learning. CoRR Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Demystifying Fixed k-Nearest Neighbor Information Estimators. IEEE Trans. Inf. Theory Weihao Gao, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Generalized Rank-Breaking: Computational and Statistical Tradeoffs. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2018	J	`jnl`	LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. CoRR Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Learning One-hidden-layer Neural Networks under General Input Distributions. CoRR Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
2018	J	`jnl`	Learning from Comparisons and Choices. J. Mach. Learn. Res. Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2018	J	`jnl`	Number of Connected Components in a Graph: Estimation via Counting Patterns. CoRR Ashish Khetan, Harshay Shah, Sewoong Oh
2018	J	`jnl`	Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2018	A*	`conf`	PacGAN: The power of two samples in generative adversarial networks. NeurIPS Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2018	J	`jnl`	Rate Distortion For Model Compression: From Theory To Practice. CoRR Weihao Gao, Chong Wang, Sewoong Oh
2018	J	`jnl`	Robustness of Conditional GANs to Noisy Labels. CoRR Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
2018	A*	`conf`	Robustness of conditional GANs to noisy labels. NeurIPS Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
2017	B	`conf`	Demystifying fixed k-nearest neighbor information estimators. ISIT Weihao Gao, Sewoong Oh, Pramod Viswanath
2017	J	`jnl`	Density Functional Estimators with k-Nearest Neighbor Bandwidths. CoRR Weihao Gao, Sewoong Oh, Pramod Viswanath
2017	B	`conf`	Density functional estimators with k-nearest neighbor bandwidths. ISIT Weihao Gao, Sewoong Oh, Pramod Viswanath
2017	—	`conf`	Discovering Potential Correlations via Hypercontractivity. NIPS Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017	J	`jnl`	Discovering Potential Correlations via Hypercontractivity. Entropy Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017	J	`jnl`	Efficient Learning for Crowdsourced Regression. CoRR Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi
2017	—	`conf`	Estimating Mutual Information for Discrete-Continuous Mixtures. NIPS Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017	J	`jnl`	Estimating Mutual Information for Discrete-Continuous Mixtures. CoRR Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017	J	`jnl`	Hiding the Rumor Source. IEEE Trans. Inf. Theory Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath
2017	J	`jnl`	Learning from Comparisons and Choices. CoRR Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2017	—	`conf`	Matrix Factorization at the Frontier of Non-convex Optimizations: Abstract for SIGMETRICS 2017 Rising Star Award Talk. SIGMETRICS (Abstracts) Sewoong Oh
2017	—	`conf`	Matrix Norm Estimation from a Few Entries. NIPS Ashish Khetan, Sewoong Oh
2017	—	`conf`	Optimal Sample Complexity of M-wise Data for Top-K Ranking. NIPS Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh
2017	J	`jnl`	PacGAN: The power of two samples in generative adversarial networks. CoRR Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2017	—	`ed.`	Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05 - 09, 2017 SIGMETRICS (Abstracts) Bruce E. Hajek, Sewoong Oh, Augustin Chaintreau, Leana Golubchik, Zhi-Li Zhang
2017	J	`jnl`	Rank Centrality: Ranking from Pairwise Comparisons. Oper. Res. Sahand Negahban, Sewoong Oh, Devavrat Shah
2017	J	`jnl`	Spectrum Estimation from a Few Entries. CoRR Ashish Khetan, Sewoong Oh
2017	J	`jnl`	The Composition Theorem for Differential Privacy. IEEE Trans. Inf. Theory Peter Kairouz, Sewoong Oh, Pramod Viswanath
2016	—	`conf`	Achieving budget-optimality with adaptive schemes in crowdsourcing. NIPS Ashish Khetan, Sewoong Oh
2016	—	`conf`	Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. NIPS Weihao Gao, Sewoong Oh, Pramod Viswanath
2016	J	`jnl`	Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. CoRR Weihao Gao, Sewoong Oh, Pramod Viswanath
2016	J	`jnl`	Causal Strength via Shannon Capacity: Axioms, Estimators and Applications. CoRR Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016	—	`conf`	Computational and Statistical Tradeoffs in Learning to Rank. NIPS Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Computational and Statistical Tradeoffs in Learning to Rank. CoRR Ashish Khetan, Sewoong Oh
2016	A*	`conf`	Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. ICML Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016	A*	`conf`	Data-driven Rank Breaking for Efficient Rank Aggregation. ICML Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Data-driven Rank Breaking for Efficient Rank Aggregation. CoRR Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Data-driven Rank Breaking for Efficient Rank Aggregation. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Demystifying Fixed k-Nearest Neighbor Information Estimators. CoRR Weihao Gao, Sewoong Oh, Pramod Viswanath
2016	J	`jnl`	Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh
2016	Misc	`conf`	Differentially private multi-party computation. CISS Peter Kairouz, Sewoong Oh, Pramod Viswanath
2016	J	`jnl`	Extremal Mechanisms for Local Differential Privacy. J. Mach. Learn. Res. Peter Kairouz, Sewoong Oh, Pramod Viswanath
2016	J	`jnl`	Metadata-Conscious Anonymous Messaging. IEEE Trans. Signal Inf. Process. over Networks Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath
2016	A*	`conf`	Metadata-conscious anonymous messaging. ICML Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath
2016	A*	`conf`	Optimality of Belief Propagation for Crowdsourced Classification. ICML Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2016	J	`jnl`	Optimality of Belief Propagation for Crowdsourced Classification. CoRR Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2016	J	`jnl`	Reliable Crowdsourcing under the Generalized Dawid-Skene Model. CoRR Ashish Khetan, Sewoong Oh
2016	A*	`conf`	Rumor Source Obfuscation on Irregular Trees. SIGMETRICS Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath
2016	J	`jnl`	Top-K Ranking from Pairwise Comparisons: When Spectral Ranking is Optimal. CoRR Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh
2015	—	`conf`	Collaboratively Learning Preferences from Ordinal Data. NIPS Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2015	J	`jnl`	Collaboratively Learning Preferences from Ordinal Data. CoRR Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2015	A*	`conf`	Detecting Sponsored Recommendations. SIGMETRICS Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2015	J	`jnl`	Detecting Sponsored Recommendations. CoRR Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2015	J	`jnl`	Hiding the Rumor Source. CoRR Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath
2015	—	`conf`	Secure Multi-party Differential Privacy. NIPS Peter Kairouz, Sewoong Oh, Pramod Viswanath
2015	A*	`conf`	Spy vs. Spy: Rumor Source Obfuscation. SIGMETRICS Giulia Fanti, Peter Kairouz, Sewoong Oh, Pramod Viswanath
2015	A*	`conf`	The Composition Theorem for Differential Privacy. ICML Peter Kairouz, Sewoong Oh, Pramod Viswanath
2015	J	`jnl`	The Staircase Mechanism in Differential Privacy. IEEE J. Sel. Top. Signal Process. Quan Geng, Peter Kairouz, Sewoong Oh, Pramod Viswanath
2014	—	`conf`	Assessment of ENC sounding by Delaunay Triangulation method in aspect of fine compilation for safe navigation. SCIS&ISIS Dongwoo Kang, Wooseong Shim, Sewoong Oh, Sunyoung Kim
2014	J	`jnl`	Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems. Oper. Res. David R. Karger, Sewoong Oh, Devavrat Shah
2014	—	`conf`	Extremal Mechanisms for Local Differential Privacy. NIPS Peter Kairouz, Sewoong Oh, Pramod Viswanath
2014	J	`jnl`	Extremal Mechanisms for Local Differential Privacy. CoRR Peter Kairouz, Sewoong Oh, Pramod Viswanath
2014	—	`conf`	Learning Mixed Multinomial Logit Model from Ordinal Data. NIPS Sewoong Oh, Devavrat Shah
2014	A*	`conf`	Learning Mixtures of Discrete Product Distributions using Spectral Decompositions. COLT Prateek Jain, Sewoong Oh
2014	—	`conf`	Minimax-optimal Inference from Partial Rankings. NIPS Bruce E. Hajek, Sewoong Oh, Jiaming Xu
2014	J	`jnl`	Optimality of Non-Interactive Randomized Response. CoRR Peter Kairouz, Sewoong Oh, Pramod Viswanath
2014	—	`conf`	Provable Tensor Factorization with Missing Data. NIPS Prateek Jain, Sewoong Oh
2014	J	`jnl`	Spy vs. Spy: Rumor Source Obfuscation. CoRR Peter Kairouz, Sewoong Oh, Pramod Viswanath
2014	A*	`conf`	What's your choice?: learning the mixed multi-nomial. SIGMETRICS Ammar Ammar, Sewoong Oh, Devavrat Shah, Luis Filipe Voloch
2013	J	`jnl`	Calibration Using Matrix Completion With Application to Ultrasound Tomography. IEEE Trans. Signal Process. Reza Parhizkar, Amin Karbasi, Sewoong Oh, Martin Vetterli
2013	A*	`conf`	Efficient crowdsourcing for multi-class labeling. SIGMETRICS David R. Karger, Sewoong Oh, Devavrat Shah
2013	J	`jnl`	Learning Mixtures of Discrete Product Distributions using Spectral Decompositions. CoRR Prateek Jain, Sewoong Oh
2013	J	`jnl`	Robust Localization From Incomplete Local Information. IEEE/ACM Trans. Netw. Amin Karbasi, Sewoong Oh
2013	J	`jnl`	The Composition Theorem for Differential Privacy. CoRR Sewoong Oh, Pramod Viswanath
2012	J	`jnl`	Counting with the Crowd. Proc. VLDB Endow. Adam Marcus, David R. Karger, Samuel Madden, Rob Miller, Sewoong Oh
2012	J	`jnl`	Iterative Ranking from Pair-wise Comparisons CoRR Sahand Negahban, Sewoong Oh, Devavrat Shah
2012	—	`conf`	Iterative ranking from pair-wise comparisons. NIPS Sahand Negahban, Sewoong Oh, Devavrat Shah
2011	J	`jnl`	Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems CoRR David R. Karger, Sewoong Oh, Devavrat Shah
2011	—	`conf`	Budget-optimal crowdsourcing using low-rank matrix approximations. Allerton David R. Karger, Sewoong Oh, Devavrat Shah
2011	J	`jnl`	Gossip PCA CoRR Satish Babu Korada, Andrea Montanari, Sewoong Oh
2011	A*	`conf`	Gossip PCA. SIGMETRICS Satish Babu Korada, Andrea Montanari, Sewoong Oh
2011	—	`conf`	Iterative Learning for Reliable Crowdsourcing Systems. NIPS David R. Karger, Sewoong Oh, Devavrat Shah
2011	J	`jnl`	Robust Localization from Incomplete Local Information CoRR Amin Karbasi, Sewoong Oh
2010	J	`jnl`	Calibration for Ultrasound Breast Tomography Using Matrix Completion CoRR Reza Parhizkar, Amin Karbasi, Sewoong Oh, Martin Vetterli
2010	A*	`conf`	Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm. SIGMETRICS Amin Karbasi, Sewoong Oh
2010	J	`jnl`	Matrix Completion from Noisy Entries. J. Mach. Learn. Res. Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2010	J	`jnl`	Matrix completion from a few entries. IEEE Trans. Inf. Theory Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2009	J	`jnl`	A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion CoRR Raghunandan H. Keshavan, Sewoong Oh
2009	J	`jnl`	Low-rank Matrix Completion with Noisy Observations: a Quantitative Comparison CoRR Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2009	—	`conf`	Low-rank matrix completion with noisy observations: A quantitative comparison. Allerton Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2009	J	`jnl`	Matrix Completion from Noisy Entries CoRR Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2009	—	`conf`	Matrix Completion from Noisy Entries. NIPS Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2009	J	`jnl`	Matrix Completion from a Few Entries CoRR Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari
2009	B	`conf`	Matrix completion from a few entries. ISIT Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari
2008	B	`conf`	Computing the threshold shift for general channels. ISIT Jeremie Ezri, Rüdiger L. Urbanke, Andrea Montanari, Sewoong Oh
2008	J	`jnl`	Learning Low Rank Matrices from O(n) Entries CoRR Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2008	—	`conf`	Learning low rank matrices from O(n) entries. Allerton Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2008	B	`conf`	The slope scaling parameter for general channels, decoders, and ensembles. ISIT Jeremie Ezri, Andrea Montanari, Sewoong Oh, Rüdiger L. Urbanke