Lydia T. Liu - RankMe

32 papers A* 6A 3Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging Prediction and Intervention Problems in Social Systems. CoRR Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025	—	`conf`	Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising. EAAMO Kara Schechtman, Benjamin Brandon, Jenise Stafford, Hannah Li, Lydia T. Liu
2025	J	`jnl`	Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising. CoRR Sofiia Druchyna, Kara Schechtman, Benjamin Brandon, Jenise Stafford, Hannah Li, Lydia T. Liu
2025	A	`conf`	Evaluating Prediction-based Interventions with Human Decision Makers In Mind. AISTATS Inioluwa Deborah Raji, Lydia T. Liu
2025	J	`jnl`	Evaluating Prediction-based Interventions with Human Decision Makers In Mind. CoRR Inioluwa Deborah Raji, Lydia T. Liu
2025	J	`jnl`	Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs. CoRR Yuval Kansal, Shmuel Berman, Lydia T. Liu
2025	J	`jnl`	The Book of Life approach: Enabling richness and scale for life course research. CoRR Mark D. Verhagen, Benedikt Stroebl, Tiffany Liu, Lydia T. Liu, Matthew J. Salganik
2025	J	`jnl`	The Impact of Coreset Selection on Spurious Correlations and Group Robustness. CoRR Amaya Dharmasiri, William Yang, Polina Kirichenko, Lydia T. Liu, Olga Russakovsky
2024	J	`jnl`	Evaluating Fairness in Black-box Algorithmic Markets: A Case Study of Ride Sharing in Chicago. CoRR Yuhan Liu, Yuhan Zheng, Siyuan Zhang, Lydia T. Liu
2024	A*	`conf`	On the Actionability of Outcome Prediction. AAAI Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy
2023	J	`jnl`	On the Actionability of Outcome Prediction. CoRR Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy
2022	J	`jnl`	Lost in Translation: Reimagining the Machine Learning Life Cycle in Education. CoRR Lydia T. Liu, Serena Lutong Wang, Tolani Britton, Rediet Abebe
2022	—	`—`	Social Dynamics of Machine Learning for Decision Making Lydia T. Liu
2022	A	`conf`	Strategic ranking. AISTATS Lydia T. Liu, Nikhil Garg, Christian Borgs
2021	J	`jnl`	Bandit Learning in Decentralized Matching Markets. J. Mach. Learn. Res. Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan
2021	J	`jnl`	Strategic Ranking. CoRR Lydia T. Liu, Nikhil Garg, Christian Borgs
2020	A*	`conf`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Bandit Learning in Decentralized Matching Markets. CoRR Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan
2020	A	`conf`	Competing Bandits in Matching Markets. AISTATS Lydia T. Liu, Horia Mania, Michael I. Jordan
2020	J	`jnl`	Steerable ePCA: Rotationally Invariant Exponential Family PCA. IEEE Trans. Image Process. Zhizhen Zhao, Lydia T. Liu, Amit Singer
2020	—	`conf`	The disparate equilibria of algorithmic decision making when individuals invest rationally. FAT* Lydia T. Liu, Ashia Wilson, Nika Haghtalab, Adam Tauman Kalai, Christian Borgs, Jennifer T. Chayes
2019	J	`jnl`	Competing Bandits in Matching Markets. CoRR Lydia T. Liu, Horia Mania, Michael I. Jordan
2019	A*	`conf`	Delayed Impact of Fair Machine Learning. IJCAI Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2019	J	`jnl`	The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally. CoRR Lydia T. Liu, Ashia Wilson, Nika Haghtalab, Adam Tauman Kalai, Christian Borgs, Jennifer T. Chayes
2019	A*	`conf`	The Implicit Fairness Criterion of Unconstrained Learning. ICML Lydia T. Liu, Max Simchowitz, Moritz Hardt
2018	A*	`conf`	Delayed Impact of Fair Machine Learning. ICML Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Delayed Impact of Fair Machine Learning. CoRR Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Group calibration is a byproduct of unconstrained learning. CoRR Lydia T. Liu, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Minimizing Nonconvex Population Risk from Rough Empirical Risk. CoRR Chi Jin, Lydia T. Liu, Rong Ge, Michael I. Jordan
2018	A*	`conf`	On the Local Minima of the Empirical Risk. NeurIPS Chi Jin, Lydia T. Liu, Rong Ge, Michael I. Jordan
2018	J	`jnl`	Steerable ePCA. CoRR Zhizhen Zhao, Lydia T. Liu, Amit Singer