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Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks

, , , and . (2020)cite arxiv:2006.09313Comment: 34 Pages.

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Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks, , , and . (2020)cite arxiv:2006.09313Comment: 34 Pages.Non-negative tensor factorization models for Bayesian audio processing, , and . Digital Signal Processing, (March 2015)On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks, , , , and . (2019)cite arxiv:1912.00018Comment: 32 pages. arXiv admin note: substantial text overlap with arXiv:1901.06053.A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings., , , and . CoRR, (2018)Non-negative source-filter dynamical system for speech enhancement., , and . ICASSP, page 6206-6210. IEEE, (2014)Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers., , and . CoRR, (2022)Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent., , and . CoRR, (2023)Non-negative tensor factorization models for Bayesian audio processing., , and . Digit. Signal Process., (2015)Generalization Properties of Stochastic Optimizers via Trajectory Analysis., , , and . CoRR, (2021)Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation., and . CoRR, (2024)