| Analyzing Personality through Social Media Profile Picture Choice L Liu, D Preotiuc-Pietro, ZR Samani, ME Moghaddam, LH Ungar ICWSM, 211-220, 2016 | 367 | 2016 |
| 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 | 37 | 2021 |
| 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 | 35 | 2022 |
| 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 | 33* | 2023 |
| Rebounding Bandits for Modeling Satiation Effects L Leqi, F Kilinc Karzan, Z Lipton, A Montgomery Advances in Neural Information Processing Systems 34, 2021 | 31 | 2021 |
| Uniform convergence of rank-weighted learning J Khim, L Leqi, A Prasad, P Ravikumar International Conference on Machine Learning, 5254-5263, 2020 | 26 | 2020 |
| On Human-Aligned Risk Minimization L Leqi, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems, 15055-15064, 2019 | 26 | 2019 |
| 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 | 19 | 2021 |
| Personalized Language Modeling from Personalized Human Feedback X Li, ZC Lipton, L Leqi arXiv preprint arXiv:2402.05133, 2024 | 16 | 2024 |
| 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 | 15 | 2022 |
| Median Optimal Treatment Regimes L Leqi, EH Kennedy arXiv preprint arXiv:2103.01802, 2021 | 12 | 2021 |
| Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework J Li, Z Tang, X Liu, P Spirtes, K Zhang, L Leqi, Y Liu arXiv preprint arXiv:2403.08743, 2024 | 11 | 2024 |
| Supervised Learning with General Risk Functionals L Leqi, A Huang, Z Lipton, K Azizzadenesheli International Conference on Machine Learning, 12570-12592, 2022 | 10 | 2022 |
| A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns V Sharma, S Gupta, NJ Akpinar, ZC Lipton, L Leqi arXiv preprint arXiv:2409.13210, 2024 | 7* | 2024 |
| 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 | 6* | 2024 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 5 | 2018 |
| Many Ways to be Lonely: Fine-grained Characterization of Loneliness and its Potential Changes in COVID-19 Y Jiang, Y Jiang, L Leqi, P Winkielman Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 4 | 2022 |
| Automated Dependence Plots D Inouye, L Leqi, JS Kim, B Aragam, P Ravikumar Conference on Uncertainty in Artificial Intelligence, 1238-1247, 2020 | 4 | 2020 |
