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Pankaj Mehta

Bias-variance decomposition of overparameterized regression with random linear features

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Mar 10, 2022
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The Geometry of Over-parameterized Regression and Adversarial Perturbations

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Mar 25, 2021
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Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models

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Oct 26, 2020
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Machine Learning as Ecology

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Aug 23, 2019
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A high-bias, low-variance introduction to Machine Learning for physicists

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Mar 23, 2018
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Comment on "Why does deep and cheap learning work so well?"

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Sep 12, 2016
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Bayesian feature selection with strongly-regularizing priors maps to the Ising Model

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Nov 03, 2014
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An exact mapping between the Variational Renormalization Group and Deep Learning

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Oct 14, 2014
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Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation

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Jul 30, 2014
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