Showing 1–20 of 157 results
/ Date/ Name
Oct 7, 2019Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple ObjectivesJun 24, 2023Adaptive Privacy Composition for Accuracy-first MechanismsFeb 6, 2014Dual Query: Practical Private Query Release for High Dimensional DataJun 3, 2016Predicting with DistributionsOct 27, 2016Logarithmic Query Complexity for Approximate Nash Computation in Large GamesNov 12, 2013Private Matchings and AllocationsJun 27, 2020Understanding Gradient Clipping in Private SGD: A Geometric PerspectiveMay 30, 2019Fair Regression: Quantitative Definitions and Reduction-based AlgorithmsJun 9, 2018Orthogonal Random Forest for Causal InferenceNov 14, 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup FairnessJun 6, 2015Learning from Rational Behavior: Predicting Solutions to Unknown Linear ProgramsFeb 24, 2016Adaptive Learning with Robust Generalization GuaranteesMar 10, 2022Fully Adaptive Composition in Differential PrivacyAug 24, 2018An Empirical Study of Rich Subgroup Fairness for Machine LearningJun 1, 2018The Externalities of Exploration and How Data Diversity Helps ExploitationJul 9, 2014Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)Feb 27, 2017Competing Bandits: Learning under CompetitionJul 29, 2014Privacy and Truthful Equilibrium Selection for Aggregative GamesJul 19, 2016Multidimensional Dynamic Pricing for Welfare MaximizationMay 31, 2015Privacy for the Protected (Only)