Stephen Bates - RankMe

90 papers A* 13A 3B 4C 3Misc 1Journal 55Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Prediction Sets for Instance Segmentation. CoRR Kerri Lu, Dan M. Kluger, Stephen Bates, Sherrie Wang
2026	J	`jnl`	Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation. CoRR Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner, Youssef Marzouk, Stephen Bates, Sherrie Wang
2026	J	`jnl`	Multiple-Prediction-Powered Inference. CoRR Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates, William W. Cohen, Jacob Eisenstein, Amir Globerson, Adam Fisch
2026	J	`jnl`	Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation. CoRR Cai Zhou, Zijie Chen, Zian Li, Jike Wang, Kaiyi Jiang, Pan Li, Rose Yu, Muhan Zhang, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang
2025	J	`jnl`	Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting. CoRR Shai Feldman, Stephen Bates, Yaniv Romano
2025	A*	`conf`	Contextual Online Decision Making with Infinite-Dimensional Functional Regression. ICML Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi
2025	J	`jnl`	Contextual Online Decision Making with Infinite-Dimensional Functional Regression. CoRR Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi
2025	J	`jnl`	Frequentist Validity of Epistemic Uncertainty Estimators. CoRR Anchit Jain, Stephen Bates
2025	J	`jnl`	Instance-Adaptive Hypothesis Tests with Heterogeneous Agents. CoRR Flora C. Shi, Martin J. Wainwright, Stephen Bates
2025	J	`jnl`	Learning Diffusion Models with Flexible Representation Guidance. CoRR Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Lipschitz-Driven Inference: Bias-corrected Confidence Intervals for Spatial Linear Models. CoRR David R. Burt, Renato Berlinghieri, Stephen Bates, Tamara Broderick
2025	J	`jnl`	Next Semantic Scale Prediction via Hierarchical Diffusion Language Models. CoRR Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling. CoRR Dan M. Kluger, Kerri Lu, Tijana Zrnic, Sherrie Wang, Stephen Bates
2025	A*	`conf`	Thought calibration: Efficient and confident test-time scaling. EMNLP Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Thought calibration: Efficient and confident test-time scaling. CoRR Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola
2024	A*	`conf`	Conformal Risk Control. ICLR Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
2024	J	`jnl`	Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. CoRR Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan
2024	A	`conf`	Delegating Data Collection in Decentralized Machine Learning. AISTATS Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
2024	J	`jnl`	Label Noise Robustness of Conformal Prediction. J. Mach. Learn. Res. Bat-Sheva Einbinder, Shai Feldman, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
2024	A	`conf`	On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. AISTATS Serena Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan
2024	A*	`conf`	Online conformal prediction with decaying step sizes. ICML Anastasios Nikolas Angelopoulos, Rina Barber, Stephen Bates
2024	J	`jnl`	Online conformal prediction with decaying step sizes. CoRR Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates
2024	J	`jnl`	Sharp Results for Hypothesis Testing with Risk-Sensitive Agents. CoRR Flora C. Shi, Stephen Bates, Martin J. Wainwright
2023	J	`jnl`	Achieving Risk Control in Online Learning Settings. Trans. Mach. Learn. Res. Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano
2023	J	`jnl`	Calibrated Multiple-Output Quantile Regression with Representation Learning. J. Mach. Learn. Res. Shai Feldman, Stephen Bates, Yaniv Romano
2023	J	`jnl`	Class-Conditional Conformal Prediction With Many Classes. CoRR Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
2023	A*	`conf`	Class-Conditional Conformal Prediction with Many Classes. NeurIPS Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
2023	—	`conf`	Conformal Prediction is Robust to Dispersive Label Noise. COPA Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
2023	J	`jnl`	Conformal Prediction: A Gentle Introduction. Found. Trends Mach. Learn. Anastasios N. Angelopoulos, Stephen Bates
2023	J	`jnl`	Delegating Data Collection in Decentralized Machine Learning. CoRR Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
2023	J	`jnl`	Incentive-Theoretic Bayesian Inference for Collaborative Science. CoRR Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff
2023	J	`jnl`	Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry. CoRR Serena Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan
2023	J	`jnl`	Prediction-Powered Inference. CoRR Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic
2023	—	`conf`	Recommendation Systems with Distribution-Free Reliability Guarantees. COPA Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan
2023	A*	`conf`	The Sample Complexity of Online Contract Design. EC Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2022	J	`jnl`	Conformal Prediction is Robust to Label Noise. CoRR Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
2022	J	`jnl`	Conformal Risk Control. CoRR Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
2022	J	`jnl`	Conformal prediction for the design problem. CoRR Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan
2022	A*	`conf`	Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
2022	J	`jnl`	Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
2022	J	`jnl`	Online Active Learning with Dynamic Marginal Gain Thresholding. CoRR Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan
2022	J	`jnl`	Principal-Agent Hypothesis Testing. CoRR Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff
2022	J	`jnl`	Recommendation Systems with Distribution-Free Reliability Guarantees. CoRR Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan
2022	A*	`conf`	Robust Calibration with Multi-domain Temperature Scaling. NeurIPS Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
2022	J	`jnl`	Robust Calibration with Multi-domain Temperature Scaling. CoRR Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
2022	A*	`conf`	Semantic uncertainty intervals for disentangled latent spaces. NeurIPS Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
2022	J	`jnl`	Semantic uncertainty intervals for disentangled latent spaces. CoRR Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
2022	J	`jnl`	The Sample Complexity of Online Contract Design. CoRR Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2021	J	`jnl`	A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. CoRR Anastasios N. Angelopoulos, Stephen Bates
2021	J	`jnl`	Calibrated Multiple-Output Quantile Regression with Representation Learning. CoRR Shai Feldman, Stephen Bates, Yaniv Romano
2021	J	`jnl`	Distribution-Free, Risk-Controlling Prediction Sets. CoRR Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
2021	J	`jnl`	Distribution-free, Risk-controlling Prediction Sets. J. ACM Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
2021	A*	`conf`	Improving Conditional Coverage via Orthogonal Quantile Regression. NeurIPS Shai Feldman, Stephen Bates, Yaniv Romano
2021	J	`jnl`	Improving Conditional Coverage via Orthogonal Quantile Regression. CoRR Shai Feldman, Stephen Bates, Yaniv Romano
2021	J	`jnl`	Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei
2021	J	`jnl`	Private Prediction Sets. CoRR Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan
2021	A*	`conf`	Test-time Collective Prediction. NeurIPS Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
2021	J	`jnl`	Test-time Collective Prediction. CoRR Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
2021	A*	`conf`	Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik
2020	A*	`conf`	Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS Yaniv Romano, Stephen Bates, Emmanuel J. Candès
2020	J	`jnl`	Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR Yaniv Romano, Stephen Bates, Emmanuel J. Candès
2020	J	`jnl`	Uncertainty Sets for Image Classifiers using Conformal Prediction. CoRR Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan
2015	—	`conf`	Design space exploration of latency and bandwidth in RRAM-based solid state drives. NVMTS Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Stephen Bates, Piero Olivo
2010	J	`jnl`	Jointly Designed Architecture-Aware LDPC Convolutional Codes and High-Throughput Parallel Encoders/Decoders. IEEE Trans. Circuits Syst. I Regul. Pap. Zhengang Chen, Tyler L. Brandon, Duncan G. Elliott, Stephen Bates, Witold A. Krzymien, Bruce F. Cockburn
2009	J	`jnl`	A Compact 1.1-Gb/s Encoder and a Memory-Based 600-Mb/s Decoder for LDPC Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. Tyler L. Brandon, John C. Koob, Leendert van den Berg, Zhengang Chen, Amirhossein Alimohammad, Ramkrishna Swamy, Jason Klaus, Stephen Bates, Vincent C. Gaudet, Bruce F. Cockburn, Duncan G. Elliott
2008	C	`conf`	A 600-Mb/s encoder and decoder for low-density parity-check convolutional codes. ISCAS Tyler L. Brandon, John C. Koob, Leendert van den Berg, Zhengang Chen, Amirhossein Alimohammad, Ramkrishna Swamy, Jason Klaus, Stephen Bates, Vincent C. Gaudet, Bruce F. Cockburn, Duncan G. Elliott
2008	J	`jnl`	A Low-Cost Serial Decoder Architecture for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. Stephen Bates, Zhengang Chen, Logan Gunthorpe, Ali Emre Pusane, Kamil Sh. Zigangirov, Daniel J. Costello Jr.
2008	J	`jnl`	A scalable LDPC decoder ASIC architecture with bit-serial message exchange. Integr. Tyler L. Brandon, Robert Hang, Gary Block, Vincent C. Gaudet, Bruce F. Cockburn, Sheryl L. Howard, Christian Giasson, Keith Boyle, Paul Goud, Siavash Sheikh Zeinoddin, Anthony Rapley, Stephen Bates, Duncan G. Elliott, Christian Schlegel
2008	B	`conf`	Detecting changes in the Hurst parameter. LCN Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates
2008	J	`jnl`	Efficient Implementation of Low-Density Parity-Check Convolutional Code Encoders With Built-In Termination. IEEE Trans. Circuits Syst. I Regul. Pap. Zhengang Chen, Tyler L. Brandon, Stephen Bates, Duncan G. Elliott, Bruce F. Cockburn
2007	J	`jnl`	Design and Test of a 175-Mb/s, Rate-1/2 (128, 3, 6) Low-Density Parity-Check Convolutional Code Encoder and Decoder. IEEE J. Solid State Circuits Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon, Bruce F. Cockburn, Duncan G. Elliott, John C. Koob, Zhengang Chen
2007	A	`conf`	Generating LRD Traffic Traces Using Bootstrapping. ITC Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates
2006	C	`conf`	Decoders for low-density parity-check convolutional codes with large memory. ISCAS Stephen Bates, Logan Gunthorpe, Ali Emre Pusane, Zhengang Chen, Kamil Sh. Zigangirov, Daniel J. Costello Jr.
2006	B	`conf`	Efficient Encoding and Termination of Low-Density Parity-Check Convolutional Codes. GLOBECOM Zhengang Chen, Stephen Bates, Duncan G. Elliott, Tyler L. Brandon
2006	—	`conf`	On the Effects of Colored Noise on the Performance of LDPC Codes. SiPS Saeed Sharifi Tehrani, Bruce F. Cockburn, Stephen Bates
2006	C	`conf`	Parallel encoders for low-density parity-check convolutional codes. ISCAS Stephen Bates, Ramkrishna Swamy
2006	J	`jnl`	Termination Sequence Generation Circuits for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. Stephen Bates, Duncan G. Elliott, Ramkrishna Swamy
2005	—	`conf`	10 GBPS over Copper Lines - State of the Art in VLSI, invited. IWSOC Stephen Bates, Kris Iniewski
2005	—	`conf`	A memory-based architecture for FPGA implementations of low-density parity-check convolutional decoders. ISCAS (1) Stephen Bates, Gary Block
2005	—	`conf`	Architectures for ASIC implementations of low-density parity-check convolutional encoders and decoders. ISCAS (5) Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon
2005	J	`jnl`	Construction of low-density parity-check convolutional codes through progressive edge-growth. IEEE Commun. Lett. Zhengang Chen, Stephen Bates
2005	B	`conf`	Low-density parity-check convolutional codes applied to packet based communication systems. GLOBECOM Zhengang Chen, Stephen Bates, Xiaodai Dong
2004	—	`conf`	Application of Eigenspace Analysis Techniques to Ad-Hoc Networks. ADHOC-NOW Sumeeth Nagaraj, Stephen Bates, Christian Schlegel
2004	—	`conf`	Delivery of Streaming Video in Next-Generation Mobile Networks. ICT Stephen Bates
2004	B	`conf`	On edges and connectivity in ad hoc networks. GLOBECOM Stephen Bates
2004	—	`conf`	VLSI Issues for the Implementation of 10GBASE-T Ethernet. ESA/VLSI Stephen Bates
2000	J	`jnl`	The estimation of stable distribution parameters from teletraffic data. IEEE Trans. Signal Process. Stephen Bates, Steve McLaughlin
1998	Misc	`conf`	The effective bandwidth of stable distributions. ICASSP Stephen Bates, Steve McLaughlin
1996	—	`conf`	Is VBR Video Non-Stationary or Self-Similar? Implications for ATM Traffic Characterisation. ESM Stephen Bates, Steve McLaughlin