Liu, Lydia T.

11 publications

AISTATS 2025 Evaluating Prediction-Based Interventions with Human Decision Makers in Mind Inioluwa Deborah Raji, Lydia T. Liu

NeurIPS 2025 The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri, William Yang, Polina Kirichenko, Lydia T. Liu, Olga Russakovsky

AAAI 2024 On the Actionability of Outcome Prediction Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy

AISTATS 2022 Strategic Ranking Lydia T. Liu, Nikhil Garg, Christian Borgs

JMLR 2021 Bandit Learning in Decentralized Matching Markets Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan

ICML 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock

AISTATS 2020 Competing Bandits in Matching Markets Lydia T. Liu, Horia Mania, Michael Jordan

IJCAI 2019 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

ICML 2019 The Implicit Fairness Criterion of Unconstrained Learning Lydia T. Liu, Max Simchowitz, Moritz Hardt

ICML 2018 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

NeurIPS 2018 On the Local Minima of the Empirical Risk Chi Jin, Lydia T. Liu, Rong Ge, Michael I Jordan