Sarath Pattathil
7 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
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Venues
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Research topics
Keywords
last-iterate convergence
(2)
saddle point
(2)
convergence rate
(2)
extragradient method
(2)
saddle point problem
(2)
convex optimization
(2)
online advertising
(1)
game theory
(1)
sample efficiency
(1)
minimax optimization
(1)
markov decision process
(1)
multi-agent learning
(1)
linear programming
(1)
bandit feedback
(1)
zero-sum game
(1)
primal-dual optimization
(1)
regret bound
(1)
natural policy gradient
(1)
generalization bound
(1)
no-regret learning
(1)
Papers
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
COLT 2024
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
ICML 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence
AISTATS 2023
What is a Good Metric to Study Generalization of Minimax Learners?
NeurIPS 2022
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
AISTATS 2020
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems
COLT 2020
Tight last-iterate convergence rates for no-regret learning in multi-player games
NeurIPS 2020