Kevin Tan

6 papers · 2023–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19)

Venues

ICML (3) NeurIPS (2) AISTATS (1)

Top co-authors

Ambuj Tewari (3) Chinmaya Kausik (3) Wei Fan (2) Yuting Wei (2) Michał Dereziński (1) Sachin Garg (1) Yixin Wang (1) Maggie Makar (1) Yangyi Lu (1)

Research topics

Machine Learning (4) Reinforcement Learning (4) Methods (4) Mathematics & Optimization (3) Optimization & Theory (3) Artificial Intelligence (2) Core Methods (2) Mathematics (2) Applications (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Optimization (1) Probability (1)

Keywords

sample complexity (2) spectral clustering (1) em algorithm (1) function approximation (1) expectation maximization (1) distributed learning (1) markov decision process (1) markov chain (1) linear function approximation (1) optimal policy (1) policy improvement (1) least squares regression (1) communication efficiency (1) value estimation (1) matrix sketching (1) random matrix theory (1) regret guarantee (1) distributed algorithm (1) linear mdp (1) unobserved confounder (1)

Papers

Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 Leveraging Offline Data in Linear Latent Contextual Bandits ICML 2025 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024 Learning Mixtures of Markov Chains and MDPs ICML 2023