Chris Dann

5 papers · 2022–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AISTATS (2) ALT (1) COLT (1) ICML (1)

Top co-authors

Ayush Sekhari (1) Teodor V. Marinov (1) Aldo Pacchiano (1) Karthik Sridharan (1) Abhimanyu Das (1) Julian Zimmert (1) Chen-Yu Wei (1) Mohammad Ghavamzadeh (1) Claudio Gentile (1) Mehryar Mohri (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Learning Types (3) Mathematics & Optimization (2) Reinforcement Learning (2) Methods (2) Optimization (2) Artificial Intelligence (1) Learning Paradigms (1)

Keywords

regret bound (2) sample efficiency (1) off-policy evaluation (1) model selection (1) online learning (1) function approximation (1) sample complexity (1) regret minimization (1) importance sampling (1) bandit feedback (1) minimax optimal (1) online algorithm (1) contextual bandit (1) pareto frontier (1) regret balancing (1) monte carlo estimator (1) graph bandit (1) stochastic linear bandit (1) myopic exploration (1) bellman eluder dimension (1)

Papers

Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024 A Blackbox Approach to Best of Both Worlds in Bandits and Beyond COLT 2023 Multiple-policy High-confidence Policy Evaluation AISTATS 2023 Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022