Lillian Ratliff
17 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (5)
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Academic Marathon
(5)
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Cross-Pollinator
(10)
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Renaissance Researcher
(5)
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Century Club
(17)
ποΈ
Keyword Collector
(80)
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Conference Pioneer
π₯
Unstoppable
(6)
Conferences
AISTATS (6)
NIPS (5)
UAI (3)
AAAI (1)
ICML (1)
L4DC (1)
Top co-authors
Research topics
Keywords
nash equilibrium
(6)
zero-sum game
(5)
sample complexity
(3)
gradient descent
(3)
sequential decision making
(2)
multi-agent learning
(2)
game theory
(2)
multi-agent system
(2)
regret minimization
(2)
gradient flow
(2)
matrix game
(2)
strategic classification
(2)
performative prediction
(2)
experimental design
(1)
convergence analysis
(1)
risk minimization
(1)
online learning
(1)
multi-armed bandit
(1)
transductive learning
(1)
distributionally robust optimization
(1)
Papers
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
UAI 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits
AISTATS 2024
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
AISTATS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
NIPS 2023
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
AISTATS 2023
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
AISTATS 2022
Instance-optimal PAC Algorithms for Contextual Bandits
NIPS 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
AAAI 2021
Online Learning in Periodic Zero-Sum Games
NIPS 2021
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
NIPS 2021
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
ICML 2020
Constrained Upper Confidence Reinforcement Learning
L4DC 2020
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
UAI 2020
Convergence Analysis of Gradient-Based Learning in Continuous Games
UAI 2019
Sequential Experimental Design for Transductive Linear Bandits
NIPS 2019