Lillian Ratliff
17 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Conference Pioneer
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(87)
Top co-authors
Research topics
Keywords
nash equilibrium
(6)
zero-sum game
(6)
sample complexity
(3)
gradient descent
(3)
sequential decision making
(2)
game theory
(2)
regret bound
(2)
gradient flow
(2)
multi-agent system
(2)
strategic classification
(2)
matrix game
(2)
contextual bandit
(2)
performative prediction
(2)
multi-agent learning
(2)
regret minimization
(2)
convergence analysis
(1)
risk minimization
(1)
online learning
(1)
gaussian process
(1)
strategic behavior
(1)
Papers
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
UAI 2024
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits
AISTATS 2024
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
AISTATS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
AISTATS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
NeurIPS 2023
Instance-optimal PAC Algorithms for Contextual Bandits
NeurIPS 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
AISTATS 2022
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
AAAI 2021
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
NeurIPS 2021
Online Learning in Periodic Zero-Sum Games
NeurIPS 2021
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
UAI 2020
Constrained Upper Confidence Reinforcement Learning
L4DC 2020
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
ICML 2020
Convergence Analysis of Gradient-Based Learning in Continuous Games
UAI 2019
Sequential Experimental Design for Transductive Linear Bandits
NeurIPS 2019