conftrace_
← Authors

Michael Kearns

28 papers · 2006–2025 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (6) 🀝 Dynamic Duo (15) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (62) πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (28)

Conferences

ICML (11) NIPS (9) IJCAI (3) COLT (2) AISTATS (1) CVPR (1) JMLR (1)

Top co-authors

Aaron Roth (15) Zhiwei Steven Wu (4) Jamie Morgenstern (3) Jennifer Wortman (3) Jessica Sorrell (3) Shahin Jabbari (3) Kareem Amin (3) Shuai Tang (2) Matthew Joseph (2) Marcel Hussing (2)

Research topics

Privacy (1)

Keywords

regret bound (3) differential privacy (3) online learning (3) fairness constraint (3) graphical model (3) multi-armed bandit (3) algorithmic fairness (2) transfer learning (2) nash equilibrium (2) multi-source learning (2) probabilistic inference (2) domain adaptation (2) agnostic learning (2) expected loss (2) game theory (2) network formation (2) contextual bandit (2) convex optimization (1) classification (1) few-shot learning (1)

Papers

Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces ICML 2025 Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable NIPS 2024 Membership Inference Attacks on Diffusion Models via Quantile Regression ICML 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NIPS 2024 Multicalibration as Boosting for Regression ICML 2023 Mixed Differential Privacy in Computer Vision CVPR 2022 Differentially Private Query Release Through Adaptive Projection ICML 2021 Average Individual Fairness: Algorithms, Generalization and Experiments NIPS 2019 Differentially Private Fair Learning ICML 2019 Network Formation under Random Attack and Probabilistic Spread IJCAI 2019 Equilibrium Characterization for Data Acquisition Games IJCAI 2019 Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018 Online Learning with an Unknown Fairness Metric NIPS 2018 Predicting with Distributions COLT 2017 Fairness in Reinforcement Learning ICML 2017 Meritocratic Fairness for Cross-Population Selection ICML 2017 Tight Policy Regret Bounds for Improving and Decaying Bandits IJCAI 2016 Fairness in Learning: Classic and Contextual Bandits NIPS 2016 Learning from Contagion (Without Timestamps) ICML 2014 Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Marginals-to-Models Reducibility NIPS 2013 Large-Scale Bandit Problems and KWIK Learning ICML 2013 Bandits, Query Learning, and the Haystack Dimension COLT 2011 Learning from Multiple Sources JMLR 2008 Privacy-Preserving Belief Propagation and Sampling NIPS 2007 A Small World Threshold for Economic Network Formation NIPS 2006 Learning from Multiple Sources NIPS 2006