Stephen Bates
17 papers · 2020–2026 · 7 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32)
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Research topics
Machine Learning
(16)
Optimization & Theory
(10)
Core Methods
(7)
Application Areas
(6)
Learning Types
(5)
Artificial Intelligence
(4)
Core AI
(4)
Computer Vision
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Models
(2)
Data Science & Analytics
(1)
Analysis
(1)
Applications
(1)
Keywords
uncertainty quantification
(7)
conformal prediction
(7)
quantile regression
(3)
coverage guarantee
(2)
generative model
(2)
distribution shift
(2)
risk control
(2)
information asymmetry
(2)
ensemble learning
(1)
instance segmentation
(1)
domain generalization
(1)
image super-resolution
(1)
hypothesis testing
(1)
label noise
(1)
algorithmic fairness
(1)
distributed learning
(1)
model averaging
(1)
fairness testing
(1)
electron microscopy
(1)
image regression
(1)
Papers
Conformal Prediction Sets for Instance Segmentation
UAI 2026
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
ICML 2025
Thought calibration: Efficient and confident test-time scaling
EMNLP 2025
Conformal Risk Control
ICLR 2024
Delegating Data Collection in Decentralized Machine Learning
AISTATS 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry
AISTATS 2024
Online conformal prediction with decaying step sizes
ICML 2024
Calibrated Multiple-Output Quantile Regression with Representation Learning
JMLR 2023
Class-Conditional Conformal Prediction with Many Classes
NeurIPS 2023
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
ICML 2022
Robust Calibration with Multi-domain Temperature Scaling
NeurIPS 2022
Semantic uncertainty intervals for disentangled latent spaces
NeurIPS 2022
Improving Conditional Coverage via Orthogonal Quantile Regression
NeurIPS 2021
Test-time Collective Prediction
NeurIPS 2021
Uncertainty Sets for Image Classifiers using Conformal Prediction
ICLR 2021
Achieving Equalized Odds by Resampling Sensitive Attributes
NeurIPS 2020