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Lydia T. Liu
Lydia T. Liu
Postdoctoral researcher, Cornell University
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
3522018
The implicit fairness criterion of unconstrained learning
LT Liu, M Simchowitz, M Hardt
International Conference on Machine Learning, 2019, 2018
552018
On the local minima of the empirical risk
C Jin, LT Liu, R Ge, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS) 32, 2018
52*2018
Competing bandits in matching markets
LT Liu, H Mania, M Jordan
International Conference on Artificial Intelligence and Statistics, 1618-1628, 2020
512020
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
512020
PCA: High dimensional exponential family PCA
LT Liu, E Dobriban, A Singer
The Annals of Applied Statistics 12 (4), 2121-2150, 2018
472018
Bandit Learning in Decentralized Matching Markets.
LT Liu, F Ruan, H Mania, MI Jordan
J. Mach. Learn. Res. 22, 211:1-211:34, 2021
222021
Steerable ePCA: Rotationally invariant exponential family PCA
Z Zhao, LT Liu, A Singer
IEEE Transactions on Image Processing 29, 6069-6081, 2020
21*2020
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Bjorkegren, M Hardt, ...
International Conference on Machine Learning, 8158-8168, 2020
172020
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
172016
Strategic ranking
LT Liu, N Garg, C Borgs
International Conference on Artificial Intelligence and Statistics, 2489-2518, 2022
82022
Whynot, 2020
J Miller, C Hsu, J Troutman, J Perdomo, T Zrnic, L Liu, Y Sun, L Schmidt, ...
URL https://doi. org/10.5281/zenodo 3875775, 0
5
On the two-sample statistic approach to generative adversarial networks
L Liu
42017
Lost in translation: Reimagining the machine learning life cycle in education
LT Liu, S Wang, T Britton, R Abebe
arXiv preprint arXiv:2209.03929, 2022
12022
Social Dynamics of Machine Learning for Decision Making
LT Liu
UC Berkeley, 2022
2022
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 1–17