Stephen Bates

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 44

Top Topics

Conformal Prediction

Information Asymmetry

Gentle Introduction

Top Venues

Publications

Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. CoRR (2024)
Serena Lutong Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. AISTATS (2024)
Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
Conformal Risk Control. ICLR (2024)
Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
Delegating Data Collection in Decentralized Machine Learning. AISTATS (2024)
Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates
Online conformal prediction with decaying step sizes. CoRR (2024)
Anastasios N. Angelopoulos, Stephen Bates
Conformal Prediction: A Gentle Introduction. Found. Trends Mach. Learn. 16 (4) (2023)
Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano
Achieving Risk Control in Online Learning Settings. Trans. Mach. Learn. Res. 2023 (2023)
Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
Class-Conditional Conformal Prediction With Many Classes. CoRR (2023)
Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani
Class-Conditional Conformal Prediction with Many Classes. NeurIPS (2023)
Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
Delegating Data Collection in Decentralized Machine Learning. CoRR (2023)
Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff
Incentive-Theoretic Bayesian Inference for Collaborative Science. CoRR (2023)
Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan
Recommendation Systems with Distribution-Free Reliability Guarantees. COPA (2023)
Serena Lutong Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry. CoRR (2023)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. EC (2023)
Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
Conformal Prediction is Robust to Dispersive Label Noise. COPA (2023)
Shai Feldman, Stephen Bates, Yaniv Romano
Calibrated Multiple-Output Quantile Regression with Representation Learning. J. Mach. Learn. Res. 24 (2023)
Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic
Prediction-Powered Inference. CoRR (2023)
Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
Conformal Prediction is Robust to Label Noise. CoRR (2022)
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
Conformal Risk Control. CoRR (2022)
Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff
Principal-Agent Hypothesis Testing. CoRR (2022)
Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
Semantic uncertainty intervals for disentangled latent spaces. NeurIPS (2022)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. CoRR (2022)
Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan
Conformal prediction for the design problem. CoRR (2022)
Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
Semantic uncertainty intervals for disentangled latent spaces. CoRR (2022)
Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
Robust Calibration with Multi-domain Temperature Scaling. NeurIPS (2022)
Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR (2022)
Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan
Recommendation Systems with Distribution-Free Reliability Guarantees. CoRR (2022)
Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
Robust Calibration with Multi-domain Temperature Scaling. CoRR (2022)
Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan
Online Active Learning with Dynamic Marginal Gain Thresholding. CoRR (2022)
Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML (2022)
Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan
Private Prediction Sets. CoRR (2021)
Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
Distribution-free, Risk-controlling Prediction Sets. J. ACM 68 (6) (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. CoRR (2021)
Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Improving Conditional Coverage via Orthogonal Quantile Regression. NeurIPS (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Calibrated Multiple-Output Quantile Regression with Representation Learning. CoRR (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Improving Conditional Coverage via Orthogonal Quantile Regression. CoRR (2021)
Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik
Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. NeurIPS (2021)
Anastasios N. Angelopoulos, Stephen Bates
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. CoRR (2021)
Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
Distribution-Free, Risk-Controlling Prediction Sets. CoRR (2021)
Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan
Uncertainty Sets for Image Classifiers using Conformal Prediction. CoRR (2020)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS (2020)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR (2020)
Lorenzo Zuolo, Cristian Zambelli, Rino Micheloni, Stephen Bates, Piero Olivo
Design space exploration of latency and bandwidth in RRAM-based solid state drives. NVMTS (2015)
Zhengang Chen, Tyler L. Brandon, Duncan G. Elliott, Stephen Bates, Witold A. Krzymien, Bruce F. Cockburn
Jointly Designed Architecture-Aware LDPC Convolutional Codes and High-Throughput Parallel Encoders/Decoders. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2010)
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
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. (5) (2009)
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
A 600-Mb/s encoder and decoder for low-density parity-check convolutional codes. ISCAS (2008)
Stephen Bates, Zhengang Chen, Logan Gunthorpe, Ali Emre Pusane, Kamil Sh. Zigangirov, Daniel J. Costello Jr.
A Low-Cost Serial Decoder Architecture for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2008)
Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates
Detecting changes in the Hurst parameter. LCN (2008)
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
A scalable LDPC decoder ASIC architecture with bit-serial message exchange. Integr. 41 (3) (2008)
Zhengang Chen, Tyler L. Brandon, Stephen Bates, Duncan G. Elliott, Bruce F. Cockburn
Efficient Implementation of Low-Density Parity-Check Convolutional Code Encoders With Built-In Termination. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2008)
Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon, Bruce F. Cockburn, Duncan G. Elliott, John C. Koob, Zhengang Chen
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 42 (10) (2007)
Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates
Generating LRD Traffic Traces Using Bootstrapping. International Teletraffic Congress (2007)
Stephen Bates, Duncan G. Elliott, Ramkrishna Swamy
Termination Sequence Generation Circuits for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. (9) (2006)
Saeed Sharifi Tehrani, Bruce F. Cockburn, Stephen Bates
On the Effects of Colored Noise on the Performance of LDPC Codes. SiPS (2006)
Zhengang Chen, Stephen Bates, Duncan G. Elliott, Tyler L. Brandon
Efficient Encoding and Termination of Low-Density Parity-Check Convolutional Codes. GLOBECOM (2006)
Stephen Bates, Ramkrishna Swamy
Parallel encoders for low-density parity-check convolutional codes. ISCAS (2006)
Stephen Bates, Logan Gunthorpe, Ali Emre Pusane, Zhengang Chen, Kamil Sh. Zigangirov, Daniel J. Costello Jr.
Decoders for low-density parity-check convolutional codes with large memory. ISCAS (2006)
Stephen Bates, Gary Block
A memory-based architecture for FPGA implementations of low-density parity-check convolutional decoders. ISCAS (1) (2005)
Stephen Bates, Kris Iniewski
10 GBPS over Copper Lines - State of the Art in VLSI, invited. IWSOC (2005)
Zhengang Chen, Stephen Bates, Xiaodai Dong
Low-density parity-check convolutional codes applied to packet based communication systems. GLOBECOM (2005)
Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon
Architectures for ASIC implementations of low-density parity-check convolutional encoders and decoders. ISCAS (5) (2005)
Zhengang Chen, Stephen Bates
Construction of low-density parity-check convolutional codes through progressive edge-growth. IEEE Commun. Lett. 9 (12) (2005)
Sumeeth Nagaraj, Stephen Bates, Christian Schlegel
Application of Eigenspace Analysis Techniques to Ad-Hoc Networks. ADHOC-NOW (2004)
Stephen Bates
Delivery of Streaming Video in Next-Generation Mobile Networks. ICT (2004)
Stephen Bates
On edges and connectivity in ad hoc networks. GLOBECOM (2004)
Stephen Bates
VLSI Issues for the Implementation of 10GBASE-T Ethernet. ESA/VLSI (2004)
Stephen Bates, Steve McLaughlin
The estimation of stable distribution parameters from teletraffic data. IEEE Trans. Signal Process. 48 (3) (2000)
Stephen Bates, Steve McLaughlin
The effective bandwidth of stable distributions. ICASSP (1998)
Stephen Bates, Steve McLaughlin
Is VBR Video Non-Stationary or Self-Similar? Implications for ATM Traffic Characterisation. ESM (1996)