Kaiwen Wang
11 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π₯
Mega-Team
(20)
π
Century Club
(11)
Conferences
ICML (6)
NIPS (3)
COLT (1)
EMNLP (1)
Top co-authors
Keywords
representation learning
(2)
semiparametric efficiency
(2)
regret bound
(2)
off-policy evaluation
(2)
target task
(1)
distributional reinforcement learning
(1)
multi-modal learning
(1)
maximum likelihood estimation
(1)
causal effect estimation
(1)
pac bound
(1)
value iteration
(1)
distributionally robust optimization
(1)
minimax regret
(1)
latent variable
(1)
structural equation model
(1)
markov decision process
(1)
linear mdp
(1)
robust markov decision process
(1)
low-rank mdp
(1)
multimodal learning
(1)
Papers
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
ICML 2025
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
ICML 2024
Switching the Loss Reduces the Cost in Batch Reinforcement Learning
ICML 2024
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
NIPS 2024
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NIPS 2023
Provable Benefits of Representational Transfer in Reinforcement Learning
COLT 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
ICML 2023
Learning Bellman Complete Representations for Offline Policy Evaluation
ICML 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
NIPS 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
ICML 2022