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Peter L. Bartlett

Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes

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Apr 05, 2025
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Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification

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Mar 11, 2025
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Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks

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Feb 22, 2025
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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data

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Dec 13, 2024
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A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data

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Oct 28, 2024
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Scaling Laws in Linear Regression: Compute, Parameters, and Data

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Jun 12, 2024
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Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization

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Jun 12, 2024
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A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data

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Feb 24, 2024
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Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency

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Feb 24, 2024
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In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization

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Feb 22, 2024
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