Showing 1–20 of 20 results
/ Date/ Name
Aug 12, 2022Computational and Data Requirements for Learning Generic Properties of Simulation-Based GamesApr 10, 2024Algorithms and Analysis for Optimizing Robust Objectives in Fair Machine LearningNov 22, 2020Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITESep 4, 2025Towards Cognitively-Faithful Decision-Making Models to Improve AI AlignmentDec 18, 2018Uniform Convergence Bounds for Codec SelectionApr 29, 2021An Axiomatic Theory of Provably-Fair Welfare-Centric Machine LearningJan 25, 2023Into the Unknown: Assigning Reviewers to Papers with Uncertain AffinitiesApr 7, 2024Percentile Criterion Optimization in Offline Reinforcement LearningJul 24, 2023The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular PreferencesFeb 14, 2025Deploying Fair and Efficient Course Allocation MechanismsJan 23, 2021Learning Competitive Equilibria in Noisy Combinatorial MarketsNov 30, 2022Regret Pruning for Learning Equilibria in Simulation-Based GamesMay 31, 2019Learning Equilibria of Simulation-Based GamesFeb 29, 2024To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared ModelsNov 4, 2024Fair and Welfare-Efficient Constrained Multi-matchings under UncertaintyJun 16, 2020MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern MiningFeb 6, 2023Dividing Good and Better Items Among Agents with Bivalued Submodular ValuationsNov 14, 2021Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time BoundsNov 13, 2025Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human FeedbackJul 25, 2023Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems