Liu Leqi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Markov Decision Process

Language Modeling

Risk Assessment

Top Venues

Publications

Xinyu Li, Zachary C. Lipton, Liu Leqi
Personalized Language Modeling from Personalized Human Feedback. CoRR (2024)
Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models. CoRR (2024)
Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework. CoRR (2024)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CHI (2023)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CoRR (2023)
Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. CoRR (2022)
Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Markov Decision Processes. CoRR (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. AAAI (2022)
Yueyi Jiang, Yunfan Jiang, Liu Leqi, Piotr Winkielman
Many Ways to be Lonely: Fine-grained Characterization of Loneliness and its Potential Changes in COVID-19. CoRR (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. CoRR (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. CoRR (2022)
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Action-Sufficient State Representation Learning for Control with Structural Constraints. ICML (2022)
Yueyi Jiang, Yunfan Jiang, Liu Leqi, Piotr Winkielman
Many Ways to Be Lonely: Fine-Grained Characterization of Loneliness and Its Potential Changes in COVID-19. ICWSM (2022)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. ICML (2022)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators. CoRR (2021)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When curation becomes creation. Commun. ACM 64 (12) (2021)
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Action-Sufficient State Representation Learning for Control with Structural Constraints. CoRR (2021)
Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
Rebounding Bandits for Modeling Satiation Effects. NeurIPS (2021)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When Curation Becomes Creation: Algorithms, microcontent, and the vanishing distinction between platforms and creators. ACM Queue 19 (3) (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. CoRR (2021)
Liu Leqi, Edward H. Kennedy
Median Optimal Treatment Regimes. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. NeurIPS (2021)
Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
Rebounding Bandits for Modeling Satiation Effects. CoRR (2020)
Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
Uniform Convergence of Rank-weighted Learning. ICML (2020)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Automated Dependence Plots. UAI (2020)
Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell
Game Design for Eliciting Distinguishable Behavior. CoRR (2019)
Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen
Game Design for Eliciting Distinguishable Behavior. NeurIPS (2019)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Diagnostic Curves for Black Box Models. CoRR (2019)
Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
On Human-Aligned Risk Minimization. NeurIPS (2019)
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models. NeurIPS (2018)
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Sample Complexity of Nonparametric Semi-Supervised Learning. CoRR (2018)