Lydia T. Liu
Lydia T. Liu
Computer Science, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
1492018
PCA: High dimensional exponential family PCA
LT Liu, E Dobriban, A Singer
The Annals of Applied Statistics 12 (4), 2121-2150, 2018
322018
On the local minima of the empirical risk
C Jin, LT Liu, R Ge, MI Jordan
Advances in neural information processing systems, 4896-4905, 2018
28*2018
The implicit fairness criterion of unconstrained learning
LT Liu, M Simchowitz, M Hardt
International Conference on Machine Learning, 2019, 2018
14*2018
The disparate equilibria of algorithmic decision making when individuals invest rationally
LT Liu, A Wilson, N Haghtalab, AT Kalai, C Borgs, J Chayes
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
102020
Competing bandits in matching markets
LT Liu, H Mania, M Jordan
International Conference on Artificial Intelligence and Statistics, 1618-1628, 2020
92020
Steerable ePCA: Rotationally Invariant Exponential Family PCA
Z Zhao, LT Liu, A Singer
IEEE Transactions on Image Processing 29, 6069-6081, 2020
8*2020
Decoding multitask DQN in the world of Minecraft
LT Liu, U Dogan, K Hofmann
Proceedings of the 13th European Workshop on Reinforcement Learning (EWRL), 2016
72016
On the two-sample statistic approach to generative adversarial networks
L Liu
32017
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Björkegren, M Hardt, ...
arXiv preprint arXiv:2003.06740, 2020
2020
Nocturne
LT Liu
Women's Studies 47 (8), 873-873, 2018
2018
Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data
E Rolf, M Simchowitz, S Dean, LT Liu, D Björkegren, M Hardt, ...
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Articles 1–12