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Liu Leqi
Liu Leqi
Other namesLeqi Liu
Princeton Language and Intelligence
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Analyzing Personality through Social Media Profile Picture Choice
L Liu, D Preotiuc-Pietro, ZR Samani, ME Moghaddam, LH Ungar
ICWSM, 211-220, 2016
3452016
Off-policy risk assessment in contextual bandits
A Huang, L Leqi, Z Lipton, K Azizzadenesheli
Advances in Neural Information Processing Systems 34, 23714-23726, 2021
322021
Rebounding Bandits for Modeling Satiation Effects
L Leqi, F Kilinc Karzan, Z Lipton, A Montgomery
Advances in Neural Information Processing Systems 34, 2021
262021
Action-sufficient state representation learning for control with structural constraints
B Huang, C Lu, L Leqi, JM Hernández-Lobato, C Glymour, B Schölkopf, ...
International Conference on Machine Learning, 9260-9279, 2022
242022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity
C Rastogi, L Leqi, K Holstein, H Heidari
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023
22*2023
Uniform convergence of rank-weighted learning
J Khim, L Leqi, A Prasad, P Ravikumar
International Conference on Machine Learning, 5254-5263, 2020
222020
On Human-Aligned Risk Minimization
L Leqi, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems, 15055-15064, 2019
222019
Modeling attrition in recommender systems with departing bandits
O Ben-Porat, L Cohen, L Leqi, ZC Lipton, Y Mansour
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6072-6079, 2022
132022
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
A Huang, L Leqi, ZC Lipton, K Azizzadenesheli
arXiv preprint arXiv:2103.02827, 2021
132021
Median Optimal Treatment Regimes
L Leqi, EH Kennedy
arXiv preprint arXiv:2103.01802, 2021
112021
Supervised Learning with General Risk Functionals
L Leqi, A Huang, Z Lipton, K Azizzadenesheli
International Conference on Machine Learning, 12570-12592, 2022
92022
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits
L Leqi, G Zhou, F Kilinc-Karzan, Z Lipton, A Montgomery
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
62023
The sample complexity of semi-supervised learning with nonparametric mixture models
C Dan, L Leqi, B Aragam, PK Ravikumar, EP Xing
Advances in Neural Information Processing Systems 31, 2018
52018
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
S Dean, E Dong, M Jagadeesan, L Leqi
arXiv preprint arXiv:2404.12366, 2024
4*2024
Automated Dependence Plots
D Inouye, L Leqi, JS Kim, B Aragam, P Ravikumar
Conference on Uncertainty in Artificial Intelligence, 1238-1247, 2020
42020
Off-Policy Risk Assessment for Markov Decision Processes
A Huang, L Leqi, Z Lipton, K Azizzadenesheli
International Conference on Artificial Intelligence and Statistics, 5022-5050, 2022
32022
Engineering a Safer Recommender System
L Leqi, S Dean
Workshop on Responsible Decision Making in Dynamic Environments, 2022
32022
Counterfactual Metrics for Auditing Black-Box Recommender Systems for Ethical Concerns
NJ Akpinar, L Leqi, D Hadfield-Menell, Z Lipton
Workshop on Responsible Decision Making in Dynamic Environments …, 2022
32022
Personalized Language Modeling from Personalized Human Feedback
X Li, ZC Lipton, L Leqi
arXiv preprint arXiv:2402.05133, 2024
22024
Game design for eliciting distinguishable behavior
F Yang, L Leqi, Y Wu, Z Lipton, PK Ravikumar, TM Mitchell, WW Cohen
Advances in Neural Information Processing Systems 32, 2019
22019
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