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Andrew Lamperski

Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications

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Oct 07, 2024
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Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control

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Mar 25, 2024
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Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control

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Apr 05, 2023
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Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators

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Mar 21, 2023
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Constrained Langevin Algorithms with L-mixing External Random Variables

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May 27, 2022
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Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning

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Dec 22, 2020
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Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond

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Sep 06, 2019
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Simple Algorithms for Dueling Bandits

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Jun 18, 2019
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Online Adaptive Principal Component Analysis and Its extensions

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Jan 23, 2019
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Online Convex Optimization for Cumulative Constraints

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May 18, 2018
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