Cousins, Cyrus

10 publications

NeurIPS 2024 Fair and Welfare-Efficient Constrained Multi-Matchings Under Uncertainty Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick

AISTATS 2024 To Pool or Not to Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian

NeurIPS 2023 Percentile Criterion Optimization in Offline Reinforcement Learning Cyrus Cousins, Elita Lobo, Marek Petrik, Yair Zick

AISTATS 2023 Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare Cyrus Cousins

ICML 2021 Adversarial Multi Class Learning Under Weak Supervision with Performance Guarantees Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H Bach, Eli Upfal

NeurIPS 2021 An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins

NeurIPS 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal

NeurIPS 2020 Sharp Uniform Convergence Bounds Through Empirical Centralization Cyrus Cousins, Matteo Riondato

MLJ 2019 CaDET: Interpretable Parametric Conditional Density Estimation with Decision Trees and Forests Cyrus Cousins, Matteo Riondato

UAI 2019 Empirical Mechanism Design: Designing Mechanisms from Data Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald