Stephen Bates
Assistant Professor
Develops statistical inference with AI models and reliable decision-making under strategic behavior and distribution shift.
Stephen Bates's lab at MIT works on trustworthy & safe ML, reinforcement learning and efficient training & inference. 20 papers since 2023, 15 at top venues, mostly NeurIPS and ICLR. 9 PhD students. 3 alumni, most often to Citadel. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 75%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 3
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 2 · collecting
- 5 papers2025 · T1 5
- 5 papers2024 · T1 5
- 7 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, ICLR, AISTATS, ICML, JMLR
Research focuspaper titles that use each topic's words
- Reinforcement learning5 papers
- Efficient training & inference2 papers
- Trustworthy & safe ML0 papers
- statistical inference0 papers
- shift0 papers
Paper list
From DBLP.
20263 papers
- Trans. Mach. Learn. Res.Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation (opens in a new tab)
- ICLR (T1)Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting (opens in a new tab)
- ICLR (T1)Multiple-Prediction-Powered Inference (opens in a new tab)
20255 papers
- ICML (T1)Contextual Online Decision Making with Infinite-Dimensional Functional Regression (opens in a new tab)
- NeurIPS (T1)Learning Diffusion Models with Flexible Representation Guidance (opens in a new tab)
- NeurIPS (T1)Next Semantic Scale Prediction via Hierarchical Diffusion Language Models (opens in a new tab)
- NeurIPS (T1)Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations (opens in a new tab)
- EMNLP (T1)Thought calibration: Efficient and confident test-time scaling (opens in a new tab)
20245 papers
- ICLR (T1)Conformal Risk Control (opens in a new tab)
- AISTATS (T1)Delegating Data Collection in Decentralized Machine Learning (opens in a new tab)
- JMLR (T1)Label Noise Robustness of Conformal Prediction (opens in a new tab)
- AISTATS (T1)On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry (opens in a new tab)
- ICML (T1)Online conformal prediction with decaying step sizes (opens in a new tab)
20237 papers
- Trans. Mach. Learn. Res.Achieving Risk Control in Online Learning Settings (opens in a new tab)
- JMLR (T1)Calibrated Multiple-Output Quantile Regression with Representation Learning (opens in a new tab)
- NeurIPS (T1)Class-Conditional Conformal Prediction with Many Classes (opens in a new tab)
- COPAConformal Prediction is Robust to Dispersive Label Noise (opens in a new tab)
- Found. Trends Mach. Learn.Conformal Prediction: A Gentle Introduction (opens in a new tab)
- COPARecommendation Systems with Distribution-Free Reliability Guarantees (opens in a new tab)
- EC (T1)The Sample Complexity of Online Contract Design (opens in a new tab)
Where alumni went3 listed, 100% to industry
Industry 1Academia 0
Most often to
- Citadel
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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