Ratliff, Lillian

16 publications

UAI 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives Adhyyan Narang, Omid Sadeghi, Lillian Ratliff, Maryam Fazel, Jeff Bilmes

AISTATS 2024 Emergent Specialization from Participation Dynamics and Multi-Learner Retraining Sarah Dean, Mihaela Curmei, Lillian Ratliff, Jamie Morgenstern, Maryam Fazel

AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits Arnab Maiti, Ross Boczar, Kevin Jamieson, Lillian Ratliff

AISTATS 2023 Approximate Regions of Attraction in Learning with Decision-Dependent Distributions Roy Dong, Heling Zhang, Lillian Ratliff

AISTATS 2023 Instance-Dependent Sample Complexity Bounds for Zero-Sum Matrix Games Arnab Maiti, Kevin Jamieson, Lillian Ratliff

NeurIPS 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows Lauren Conger, Franca Hoffmann, Eric Mazumdar, Lillian Ratliff

AISTATS 2022 Learning in Stochastic Monotone Games with Decision-Dependent Data Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian Ratliff

AISTATS 2022 Zeroth-Order Methods for Convex-Concave Min-Max Problems: Applications to Decision-Dependent Risk Minimization Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian Ratliff

NeurIPS 2022 Instance-Optimal PAC Algorithms for Contextual Bandits Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain

NeurIPS 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games Tanner Fiez, Lillian Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang

NeurIPS 2021 Online Learning in Periodic Zero-Sum Games Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff

UAI 2020 A SUPER* Algorithm to Optimize Paper Bidding in Peer Review Tanner Fiez, Nihar Shah, Lillian Ratliff

L4DC 2020 Constrained Upper Confidence Reinforcement Learning Liyuan Zheng, Lillian Ratliff

ICML 2020 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study Tanner Fiez, Benjamin Chasnov, Lillian Ratliff

UAI 2019 Convergence Analysis of Gradient-Based Learning in Continuous Games Benjamin Chasnov, Lillian Ratliff, Eric Mazumdar, Samuel Burden

NeurIPS 2019 Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian Ratliff