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Rahul Parhi

Optimal Recovery Meets Minimax Estimation

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Feb 24, 2025
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A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis

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Feb 22, 2025
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Random ReLU Neural Networks as Non-Gaussian Processes

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May 16, 2024
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Banach Space Optimality of Neural Architectures With Multivariate Nonlinearities

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Oct 05, 2023
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Weighted variation spaces and approximation by shallow ReLU networks

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Jul 28, 2023
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Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization

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May 25, 2023
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Deep Learning Meets Sparse Regularization: A Signal Processing Perspective

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Jan 30, 2023
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Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

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Sep 18, 2021
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What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory

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May 07, 2021
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Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain

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Jun 10, 2020
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