Bates, Stephen

22 publications

ICML 2025 Contextual Online Decision Making with Infinite-Dimensional Functional Regression Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi

NeurIPS 2025 Learning Diffusion Models with Flexible Representation Guidance Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola

NeurIPS 2025 Next Semantic Scale Prediction via Hierarchical Diffusion Language Models Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi Jaakkola

NeurIPS 2025 Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations David R. Burt, Renato Berlinghieri, Stephen Bates, Tamara Broderick

ICLR 2024 Conformal Risk Control Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster

AISTATS 2024 Delegating Data Collection in Decentralized Machine Learning Nivasini Ananthakrishnan, Stephen Bates, Michael Jordan, Nika Haghtalab

ICMLW 2024 Euler Operators for Mis-Specified Physics-Informed Neural Networks Charlie Cowen-Breen, Yongji Wang, Stephen Bates, Ching-Yao Lai

JMLR 2024 Label Noise Robustness of Conformal Prediction Bat-Sheva Einbinder, Shai Feldman, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano

AISTATS 2024 On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry Serena Wang, Stephen Bates, P Aronow, Michael Jordan

ICML 2024 Online Conformal Prediction with Decaying Step Sizes Anastasios Nikolas Angelopoulos, Rina Barber, Stephen Bates

TMLR 2023 Achieving Risk Control in Online Learning Settings Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano

JMLR 2023 Calibrated Multiple-Output Quantile Regression with Representation Learning Shai Feldman, Stephen Bates, Yaniv Romano

NeurIPS 2023 Class-Conditional Conformal Prediction with Many Classes Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J Tibshirani

FnTML 2023 Conformal Prediction: A Gentle Introduction Anastasios N. Angelopoulos, Stephen Bates

ICML 2022 Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios N Angelopoulos, Amit Pal Kohli, Stephen Bates, Michael Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano

NeurIPS 2022 Robust Calibration with Multi-Domain Temperature Scaling Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan

ICMLW 2022 Robust Calibration with Multi-Domain Temperature Scaling Yaodong Yu, Stephen Bates, Yi Ma, Michael Jordan

NeurIPS 2022 Semantic Uncertainty Intervals for Disentangled Latent Spaces Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

NeurIPS 2021 Improving Conditional Coverage via Orthogonal Quantile Regression Shai Feldman, Stephen Bates, Yaniv Romano

NeurIPS 2021 Test-Time Collective Prediction Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan

ICLR 2021 Uncertainty Sets for Image Classifiers Using Conformal Prediction Anastasios Nikolas Angelopoulos, Stephen Bates, Michael Jordan, Jitendra Malik

NeurIPS 2020 Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano, Stephen Bates, Emmanuel Candes