Runzhe Wan
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(9)
Learning Types
(6)
Reinforcement Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Methods
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Applications · Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
multi-armed bandit
(3)
thompson sampling
(3)
bayesian hierarchical model
(2)
online learning
(2)
off-policy evaluation
(2)
value function
(1)
offline reinforcement learning
(1)
robust optimization
(1)
regret minimization
(1)
upper confidence bound
(1)
hypothesis testing
(1)
statistical testing
(1)
markov decision process
(1)
hierarchical model
(1)
exploration policy
(1)
sequential decision making
(1)
value estimation
(1)
policy optimization
(1)
policy evaluation
(1)
reinforcement learning
(1)
Papers
Zero-Inflated Bandits
ICML 2025
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
AAAI 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 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
Deeply-Debiased Off-Policy Interval Estimation
ICML 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
NeurIPS 2021
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020