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Wenlong Mou

On Bellman equations for continuous-time policy evaluation I: discretization and approximation

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Jul 08, 2024
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Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency

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Jan 16, 2023
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Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency

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Sep 26, 2022
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Optimal variance-reduced stochastic approximation in Banach spaces

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Jan 21, 2022
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Optimal and instance-dependent guarantees for Markovian linear stochastic approximation

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Dec 23, 2021
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Optimal oracle inequalities for solving projected fixed-point equations

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Dec 09, 2020
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ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm

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Aug 28, 2020
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On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

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Aug 17, 2020
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On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration

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Apr 09, 2020
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Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing

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Dec 11, 2019
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