Lydia T. Liu

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Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Sarah DeanCornellVerified email at cornell.edu
Esther RolfAssistant Professor, CU BoulderVerified email at colorado.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Horia ManiaMassachusetts Institute of TechnologyVerified email at mit.edu
Christian BorgsProfessor, UC BerkeleyVerified email at christianborgs.com
Amit SingerPrinceton UniversityVerified email at math.princeton.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu
Adam Tauman KalaiOpenAIVerified email at openai.com
Jennifer ChayesProfessor, UC BerkeleyVerified email at jenniferchayes.com
Ashia C. WilsonAssistant Professor at MITVerified email at mit.edu
Feng RuanDepartment of EECS, University of California, BerkeleyVerified email at berkeley.edu
Joshua BlumenstockChancellor’s Associate Professor, U.C. BerkeleyVerified email at berkeley.edu
Daniel BjörkegrenAssistant Professor of International and Public Affairs, Columbia UniversityVerified email at columbia.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaVerified email at upenn.edu
Nikhil GargAssistant Professor, Cornell TechVerified email at cornell.edu
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Zhizhen (Jane) ZhaoDepartment of Electrical and Computer Engineering, University of Illinois at Urbana ChampaignVerified email at illinois.edu

Lydia T. Liu

Assistant Professor of Computer Science, Princeton University

Verified email at princeton.edu - Homepage

Machine Learning Statistics Decision Making Algorithmic Fairness


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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	564	2018
Competing bandits in matching markets LT Liu, H Mania, M Jordan International Conference on Artificial Intelligence and Statistics, 1618-1628, 2020	107	2020
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	95	2020
The implicit fairness criterion of unconstrained learning LT Liu, M Simchowitz, M Hardt International Conference on Machine Learning, 2019, 2018	95	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	79	2021
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	71*	2018
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	31	2020
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	29*	2023
Strategic ranking LT Liu, N Garg, C Borgs International Conference on Artificial Intelligence and Statistics, 2489-2518, 2022	27	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
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	7	2024
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
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
Ai for education at aaai 2024 bridging innovation and responsibility M Ananda, DB Malick, J Burstein, LT Liu, Z Liu, J Sharpnack, Z Wang, ... AI for Education Workshop, 1-2, 2024	1	2024
Evaluating Fairness in Black-box Algorithmic Markets: A Case Study of Ride Sharing in Chicago Y Liu, Y Zheng, S Zhang, LT Liu arXiv preprint arXiv:2407.20522, 2024		2024
BRIDGING PREDICTION AND INTERVENTION PROBLEMS IN SOCIAL SYSTEMS LT Liu, ID Raji, A Zhou, A Narayanan Banff International Research Station Workshop Reports, 2024		2024
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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