Kaiwen Wang
11 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 👥 Mega-Team · Squad 💎 Century Club · Bronze
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representation learning
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low-rank mdp
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semiparametric efficiency
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off-policy evaluation
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regret bound
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distributional reinforcement learning
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sample complexity
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reinforcement learning
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batch reinforcement learning
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maximum likelihood estimation
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markov decision process
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policy learning
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pac bound
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Papers
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
ICML 2025
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
NeurIPS 2024
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
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
ICML 2023
Provable Benefits of Representational Transfer in Reinforcement Learning
COLT 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NeurIPS 2023
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
NeurIPS 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
ICML 2022
Learning Bellman Complete Representations for Offline Policy Evaluation
ICML 2022