SB
Stephen Bates
cs.LGstat.MEstat.MLcs.AImath.STstat.THcs.CVcs.GTcs.CLq-bio.QM
On Valency
published · living versionsW_r98kgkse·v1 · currentpublished
Learning developmental dynamics from lineage context
with Gokul Gowri, Nic Fishman, William N. Colgan, Minming Wang +8
1 version
Preprints & journals
67 papers in the corpus · 2017–2026Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective2610.08785v1 · Kevin Zhang, Stephen Bates2026 · 0 citationsarXiv
From Surfaces to Volumes: Registered Geometry for Protein Representation Learning2609.36277v1 · Siyuan Chen, Cai Zhou, Jinrui Zhang et al.2026 · 0 citationsarXiv
Causal Inference with Categorical Unobserved Confounder via Mixture Learning2605.19006v2 · Aytijhya Saha, Stephen Bates, Devavrat Shah2026 · 0 citationsarXiv
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models2605.16571v1 · Anchit Jain, Kevin Zhang, Stephen Bates2026 · 0 citationsarXiv
Buying Data of Unknown Quality: Statistical Information Procurement Auctions2604.08821v2 · Yuchen Hu, Martin J. Wainwright, Stephen Bates2026 · 0 citationsarXiv
CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data2604.03779v2 · Renzo G. Soatto, Anders Hoel, Greycen Ren et al.2026 · 0 citationsarXiv
Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning2604.01170v2 · Cai Zhou, Zekai Wang, Menghua Wu et al.2026 · 0 citationsarXiv
Multiple-Prediction-Powered Inference2603.27414v1 · Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates et al.2026 · 0 citationsarXiv
M-estimation under Two-Phase Multiwave Sampling with Applications to Prediction-Powered Inference2602.16933v2 · Dan M. Kluger, Stephen Bates2026 · 0 citationsarXiv
Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation2602.15022v1 · Cai Zhou, Zijie Chen, Zian Li et al.2026 · 0 citationsarXiv
Conformal Prediction Sets for Instance Segmentation2602.10045v2 · Kerri Lu, Dan M. Kluger, Stephen Bates et al.2026 · 0 citationsarXiv
Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation2601.22298v1 · Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner et al.2026 · 0 citationsarXiv
Mitigating Bias in Spatial Transcriptomic Pipelines via Human Feedback10.64898/2026.01.15.699786v1 · Boyeau, P., Bates, S., Ergen, C. et al.2026 · 0 citationsbioRxiv
Instance-Adaptive Hypothesis Tests with Heterogeneous Agents2510.21178v1 · Flora C. Shi, Martin J. Wainwright, Stephen Bates2025 · 0 citationsarXiv
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective2510.22063v3 · Anchit Jain, Stephen Bates2025 · 1 citationarXiv
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models2510.08632v1 · Cai Zhou, Chenyu Wang, Dinghuai Zhang et al.2025 · 0 citationsarXiv
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner2510.03206v2 · Cai Zhou, Chenxiao Yang, Yi Hu et al.2025 · 0 citationsarXiv
Learning Diffusion Models with Flexible Representation Guidance2507.08980v2 · Chenyu Wang, Cai Zhou, Sharut Gupta et al.2025 · 0 citationsarXiv
Thought calibration: Efficient and confident test-time scaling2505.18404v1 · Menghua Wu, Cai Zhou, Stephen Bates et al.2025 · 2 citationsarXiv
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting2505.04733v3 · Shai Feldman, Stephen Bates, Yaniv Romano2025 · 0 citationsarXiv
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association2502.06067v3 · David R. Burt, Renato Berlinghieri, Stephen Bates et al.2025 · 0 citationsNeurIPS 2025
Contextual Online Decision Making with Infinite-Dimensional Functional Regression2501.18359v1 · Haichen Hu, Rui Ai, Stephen Bates et al.2025 · 0 citationsarXiv
Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling2501.18577v3 · Dan M. Kluger, Kerri Lu, Tijana Zrnic et al.2025 · 1 citationarXiv
Sharp Results for Hypothesis Testing with Risk-Sensitive Agents2412.16452v1 · Flora C. Shi, Stephen Bates, Martin J. Wainwright2024 · 0 citationsarXiv
Theoretical Foundations of Conformal Prediction2411.11824v5 · Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates2024 · 11 citationsarXiv
VI-VS: calibrated identification of feature dependencies in single-cell multiomics.39548591 · Boyeau, Pierre, Bates, Stephen, Ergen, Can et al.2024 · 1 citationGenome biology. 2024;25(1):294
Regression coefficient estimation from remote sensing maps2407.13659v7 · Kerri Lu, Dan M. Kluger, Stephen Bates et al.2024 · 4 citationsarXiv
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction2403.19605v1 · Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos et al.2024 · 2 citationsarXiv
Conformal Triage for Medical Imaging AI Deployment10.1101/2024.02.09.24302543v1 · Angelopoulos, A. N., Pomerantz, S. R., Do, S. et al.2024 · 12 citationsmedRxiv
Online conformal prediction with decaying step sizes2402.01139v2 · Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates2024 · 6 citationsarXiv
Prediction-powered inference.37943906 · Angelopoulos, Anastasios N, Bates, Stephen, Fannjiang, Clara et al.2023 · 131 citationsScience (New York, N.Y.). 2023;382(6671):669-674
Calibrated Identification of Feature Dependencies in Single-cell Multiomics10.1101/2023.11.03.565520v1 · Boyeau, P., Bates, S., Ergen, C. et al.2023 · 0 citationsbioRxiv
Uncertainty Intervals for Prediction Errors in Time Series Forecasting2309.07435v1 · Hui Xu, Song Mei, Stephen Bates et al.2023 · 0 citationsarXiv
Delegating Data Collection in Decentralized Machine Learning2309.01837v3 · Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan et al.2023 · 0 citationsarXiv
Incentive-Theoretic Bayesian Inference for Collaborative Science2307.03748v2 · Stephen Bates, Michael I. Jordan, Michael Sklar et al.2023 · 2 citationsarXiv
Class-Conditional Conformal Prediction with Many Classes2306.09335v2 · Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates et al.2023 · 33 citationsarXiv
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry2305.14595v2 · Serena Wang, Stephen Bates, P. M. Aronow et al.2023 · 1 citationarXiv
Cross-validation: what does it estimate and how well does it do it?39308484 · Bates, Stephen, Hastie, Trevor, Tibshirani, Robert2025 · 457 citationsJournal of the American Statistical Association. 2024;119(546):1434-1445
The Sample Complexity of Online Contract Design2211.05732v3 · Banghua Zhu, Stephen Bates, Zhuoran Yang et al.2022 · 0 citationsarXiv
Conformal prediction under feedback covariate shift for biomolecular design.36256807 · Fannjiang, Clara, Bates, Stephen, Angelopoulos, Anastasios N et al.2022 · 44 citationsProceedings of the National Academy of Sciences of the United States of America. 2022;119(43):e2204569119
Label Noise Robustness of Conformal Prediction2209.14295v3 · Bat-Sheva Einbinder, Shai Feldman, Stephen Bates et al.2022 · 2 citationsarXiv
Conformal Risk Control2208.02814v4 · Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch et al.2022 · 37 citationsarXiv
Semantic uncertainty intervals for disentangled latent spaces2207.10074v2 · Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates et al.2022 · 5 citationsarXiv
Recommendation Systems with Distribution-Free Reliability Guarantees2207.01609v1 · Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates et al.2022 · 2 citationsarXiv
Robust Calibration with Multi-domain Temperature Scaling2206.02757v1 · Yaodong Yu, Stephen Bates, Yi Ma et al.2022 · 16 citationsarXiv
Achieving Risk Control in Online Learning Settings2205.09095v7 · Shai Feldman, Liran Ringel, Stephen Bates et al.2022 · 11 citationsarXiv
Principal-Agent Hypothesis Testing2205.06812v3 · Stephen Bates, Michael I. Jordan, Michael Sklar et al.2022 · 6 citationsarXiv
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging2202.05265v1 · Anastasios N Angelopoulos, Amit P Kohli, Stephen Bates et al.2022 · 27 citationsarXiv
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates2201.13451v3 · Stephen Bates, Edward Kennedy, Robert Tibshirani et al.2022 · 2 citationsarXiv
Confidence Intervals for the Generalisation Error of Random Forests2201.11210v1 · Samyak Rajanala, Stephen Bates, Trevor Hastie et al.2022 · 1 citationarXiv
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