Lillian J. Ratliff
11 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π Cross-Pollinator (8) π Renaissance Researcher (5) π§ Keyword Pioneer π Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Century Club
(11)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
ICML (4)
AAAI (2)
NIPS (2)
COLT (1)
JMLR (1)
L4DC (1)
Top co-authors
Keywords
reinforcement learning
(2)
gradient descent
(2)
offline reinforcement learning
(1)
online learning
(1)
non-convex optimization
(1)
game theory
(1)
policy gradient
(1)
sample complexity
(1)
policy learning
(1)
loss landscape
(1)
nash equilibrium
(1)
risk minimization
(1)
constraint satisfaction
(1)
bandit feedback
(1)
non-asymptotic analysis
(1)
contextual bandit
(1)
iteration complexity
(1)
performative prediction
(1)
learning dynamics
(1)
pure exploration
(1)
Papers
S4S: Solving for a Fast Diffusion Model Solver
ICML 2025
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
ICML 2025
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
ICML 2025
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
ICML 2025
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
COLT 2025
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
NIPS 2024
Initializing Services in Interactive ML Systems for Diverse Users
NIPS 2024
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
JMLR 2023
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
AAAI 2022
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
AAAI 2022
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
L4DC 2021