Runzhe Wan
9 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (24)
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Interdisciplinary Bridge
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Cross-Pollinator
(14)
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Renaissance Researcher
(5)
π₯
Unstoppable
(6)
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Trend Setter
Conferences
ICML (5)
AISTATS (2)
AAAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
multi-armed bandit
(3)
off-policy evaluation
(2)
thompson sampling
(2)
bayesian hierarchical model
(2)
online learning
(2)
policy optimization
(1)
sequential decision making
(1)
markov decision process
(1)
regret minimization
(1)
hypothesis testing
(1)
statistical testing
(1)
value function
(1)
hierarchical model
(1)
value estimation
(1)
exploration policy
(1)
regret bound
(1)
gaussian mixture model
(1)
bootstrap method
(1)
confidence interval
(1)
exploration strategy
(1)
Papers
Zero-Inflated Bandits
ICML 2025
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
AAAI 2024
Multiplier Bootstrap-based Exploration
ICML 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
AISTATS 2023
Safe Exploration for Efficient Policy Evaluation and Comparison
ICML 2022
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
NIPS 2021
Deeply-Debiased Off-Policy Interval Estimation
ICML 2021
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020