Kevin Tan
6 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(9)
🗺️
Taxonomy Completionist
(16)
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
spectral clustering
(1)
em algorithm
(1)
sample complexity
(1)
expectation maximization
(1)
distributed learning
(1)
markov decision process
(1)
markov chain
(1)
linear function approximation
(1)
policy improvement
(1)
least squares regression
(1)
communication efficiency
(1)
value estimation
(1)
matrix sketching
(1)
random matrix theory
(1)
distributed algorithm
(1)
linear mdp
(1)
unobserved confounder
(1)
least square
(1)
bias reduction
(1)
distributed averaging
(1)
Papers
Leveraging Offline Data in Linear Latent Contextual Bandits
ICML 2025
Actor-Critics Can Achieve Optimal Sample Efficiency
ICML 2025
Distributed Least Squares in Small Space via Sketching and Bias Reduction
NIPS 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
NIPS 2024
Offline Policy Evaluation and Optimization Under Confounding
AISTATS 2024
Learning Mixtures of Markov Chains and MDPs
ICML 2023