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George V. Moustakides

Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning

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Jul 18, 2024
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Data-Driven Parameter Estimation

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Jan 29, 2022
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Image De-Quantization Using Generative Models as Priors

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Jul 17, 2020
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Image Restoration from Parametric Transformations using Generative Models

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Jun 16, 2020
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Designing GANs: A Likelihood Ratio Approach

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Feb 06, 2020
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Training Neural Networks for Likelihood/Density Ratio Estimation

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Nov 05, 2019
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Optimizing Shallow Networks for Binary Classification

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May 24, 2019
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Kernel-Based Training of Generative Networks

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Nov 23, 2018
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Sampling-based Roadmap Planners are Probably Near-Optimal after Finite Computation

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Apr 08, 2014
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