Machine Learning

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Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

馃搳Vector DBsContent type: Academic
arxiv.org

Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network

馃敘Linear AlgebraContent type: Academic
arxiv.org

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

馃Computational NeuroscienceContent type: Academic
arxiv.org

GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

馃Computational NeuroscienceContent type: Academic
arxiv.org

Flatland: The Adventures of Gradient Descent with Large Step Sizes

馃敘Linear AlgebraContent type: Academic
arxiv.org

Second-Order Path Kernel Interpolation Formulas in Machine Learning

馃搳Vector DBsContent type: Academic
arxiv.org

An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

馃敘Linear AlgebraContent type: Academic
arxiv.org

Reinforcement Learning for Flow-Matching Policies with Density Transport

馃Computational NeuroscienceContent type: Academic
arxiv.org

Fourier fractal dimension to predict the generalization of deep neural networks

馃搻MathematicsContent type: Academic
arxiv.org

Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent

馃敘Linear AlgebraContent type: Academic
arxiv.org

Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization

馃捇Computer ScienceContent type: Academic
arxiv.org

Pretraining Recurrent Networks without Recurrence

馃Computational NeuroscienceContent type: Academic
arxiv.org

Variational Proximal Policy Optimization

馃Computational NeuroscienceContent type: Academic
arxiv.org

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

馃敘Linear AlgebraContent type: Academic
arxiv.org

Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials

馃Computational NeuroscienceContent type: Academic
arxiv.org

Predictive Coding with Bayesian Priors via Proximal Gradients

馃搳Vector DBsContent type: Academic
arxiv.org

A prism hierarchy of learning regimes in large linear autoencoders

馃敘Linear AlgebraContent type: Academic
arxiv.org

Learning Dynamics Reveal a Hierarchy of Weight-Induced Layerwise Gram Metrics

馃Computational NeuroscienceContent type: Academic
arxiv.org

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

馃搳Vector DBsContent type: Academic
arxiv.org

Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning

馃Computational NeuroscienceContent type: Academic
arxiv.org

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