Lydia T. Liu 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	1109	1065
h 指数	11	11
i10 指数	11	11

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Moritz HardtMax Planck Institute for Intelligent Systems在 is.mpg.de 的电子邮件经过验证
MAX SIMCHOWITZMIT在 mit.edu 的电子邮件经过验证
Sarah DeanCornell在 cornell.edu 的电子邮件经过验证
Esther RolfPostdoctoral fellow, Harvard University DSI / CRCS在 seas.harvard.edu 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Horia ManiaMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Amit SingerPrinceton University在 math.princeton.edu 的电子邮件经过验证
Christian BorgsProfessor, UC Berkeley在 christianborgs.com 的电子邮件经过验证
Rong GeDuke University在 cs.duke.edu 的电子邮件经过验证
Chi JinAssistant Professor, Princeton University在 princeton.edu 的电子邮件经过验证
Nika HaghtalabUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Adam Tauman KalaiOpenAI在 openai.com 的电子邮件经过验证
Jennifer ChayesProfessor, UC Berkeley在 jenniferchayes.com 的电子邮件经过验证
Ashia C. WilsonAssistant Professor at MIT在 mit.edu 的电子邮件经过验证
Feng RuanDepartment of EECS, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Joshua BlumenstockChancellor’s Associate Professor, U.C. Berkeley在 berkeley.edu 的电子邮件经过验证
Daniel BjörkegrenAssistant Professor of International and Public Affairs, Columbia University在 columbia.edu 的电子邮件经过验证
Edgar DobribanStatistics & Computer Science, University of Pennsylvania在 upenn.edu 的电子邮件经过验证
Nikhil GargAssistant Professor, Cornell Tech在 cornell.edu 的电子邮件经过验证
Katja HofmannMicrosoft Research在 microsoft.com 的电子邮件经过验证

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Lydia T. Liu

Assistant Professor of Computer Science, Princeton University

在 princeton.edu 的电子邮件经过验证 - 首页

Machine Learning Statistics Decision Making Algorithmic Fairness


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	528	2018
Competing bandits in matching markets LT Liu, H Mania, M Jordan International Conference on Artificial Intelligence and Statistics, 1618-1628, 2020	92	2020
The implicit fairness criterion of unconstrained learning LT Liu, M Simchowitz, M Hardt International Conference on Machine Learning, 2019, 2018	89	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	87	2020
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	70*	2018
Bandit learning in decentralized matching markets LT Liu, F Ruan, H Mania, MI Jordan Journal of Machine Learning Research 22 (211), 1-34, 2021	66	2021
PCA: High dimensional exponential family PCA LT Liu, E Dobriban, A Singer	61	2018
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	27	2020
Strategic ranking LT Liu, N Garg, C Borgs International Conference on Artificial Intelligence and Statistics, 2489-2518, 2022	25	2022
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	23	2016
Reimagining the machine learning life cycle to improve educational outcomes of students LT Liu, S Wang, T Britton, R Abebe Proceedings of the National Academy of Sciences 120 (9), e2204781120, 2023	22*	2023
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, 7, 0	6
On the actionability of outcome prediction LT Liu, S Barocas, J Kleinberg, K Levy Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22240 …, 2024	5	2024
Steerable ePCA: Rotationally invariant exponential family PCA Z Zhao, LT Liu, A Singer IEEE Transactions on Image Processing 29, 6069-6081, 2020	5*	2020
On the two-sample statistic approach to generative adversarial networks L Liu	3	2017
Social Dynamics of Machine Learning for Decision Making LT Liu University of California, Berkeley, 2022		2022
Nocturne LT Liu Women's Studies 47 (8), 873-873, 2018		2018

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