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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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Unbiased Smoothing using Particle Independent Metropolis-Hastings., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2378-2387. PMLR, (2019)Error Bounds for Flow Matching Methods., , and . CoRR, (2023)Generalization Bounds using Data-Dependent Fractal Dimensions., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8922-8968. PMLR, (2023)Ranking in Contextual Multi-Armed Bandits., , and . CoRR, (2022)Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme, , , and . (2019)cite arxiv:1905.02939Comment: 61 pages, 18 figures. The method is implemented in an open source probabilistic programming available at https://github.com/UBC-Stat-ML/blangSDK.Chained generalisation bounds., , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 4212-4257. PMLR, (2022)Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms., , , , , and . NeurIPS, page 18774-18788. (2021)Wide stochastic networks: Gaussian limit and PAC-Bayesian training., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 447-470. PMLR, (2023)Conditional simulation using diffusion Schrödinger bridges., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1792-1802. PMLR, (2022)Ensemble Rejection Sampling, , and . (2020)cite arxiv:2001.09188.