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Nian Si

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain

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Sep 17, 2025
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Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework

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Sep 11, 2025
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Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learning

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May 18, 2025
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Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning

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May 15, 2025
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Knowledge-Guided Wasserstein Distributionally Robust Optimization

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Feb 12, 2025
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ScoreFusion: fusing score-based generative models via Kullback-Leibler barycenters

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Jun 28, 2024
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Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces

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Jun 17, 2024
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Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models

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Jan 30, 2024
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Seller-Side Experiments under Interference Induced by Feedback Loops in Two-Sided Platforms

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Jan 29, 2024
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On the Foundation of Distributionally Robust Reinforcement Learning

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Nov 15, 2023
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