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Stat.ML Papers
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Stat.ML Papers
@StatMLPapers
Unofficial updates of statistical machine learning papers on arXiv
arxiv.org/list/stat.ML/r…
Joined June 2012
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  • user avatar
    Stat.ML Papers
    @StatMLPapers
    Jul 9, 2024
    A Theory of Machine Learning
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    arxiv.org
    A Theory of Machine Learning
    We critically review three major theories of machine learning and provide a new theory according to which machines learn a function when the machines successfully compute it. We show that this...
    69K
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    Stat.ML Papers
    @StatMLPapers
    May 11, 2021
    The Modern Mathematics of Deep Learning. (arXiv:2105.04026v1 [cs.LG]) ift.tt/3tFDH4u
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    Stat.ML Papers
    @StatMLPapers
    May 8, 2025
    Machine Learning: a Lecture Note
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    arxiv.org
    Machine Learning: a Lecture Note
    This lecture note is intended to prepare early-year master's and PhD students in data science or a related discipline with foundational ideas in machine learning. It starts with basic ideas in...
    31K
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    Stat.ML Papers
    @StatMLPapers
    Mar 19, 2022
    The Mathematics of Artificial Intelligence. (arXiv:2203.08890v1 [cs.LG])
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    The Mathematics of Artificial Intelligence
    We currently witness the spectacular success of artificial intelligence in both science and public life. However, the development of a rigorous mathematical foundation is still at an early stage....
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    Stat.ML Papers
    @StatMLPapers
    Sep 5, 2024
    Introduction to Machine Learning
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    arxiv.org
    Introduction to Machine Learning
    This book introduces the mathematical foundations and techniques that lead to the development and analysis of many of the algorithms that are used in machine learning. It starts with an...
    33K
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    Stat.ML Papers
    @StatMLPapers
    Feb 27, 2025
    Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory
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    arxiv.org
    Mathematical Introduction to Deep Learning: Methods,...
    This book aims to provide an introduction to the topic of deep learning algorithms. We review essential components of deep learning algorithms in full mathematical detail including different...
    23K
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    Stat.ML Papers
    @StatMLPapers
    Jul 8, 2024
    A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models ift.tt/4bR3EZt
    26K
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    Stat.ML Papers
    @StatMLPapers
    Sep 7, 2021
    A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning. (arXiv:2109.02355v1 [stat.ML]) ift.tt/38OCr7f
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    Stat.ML Papers
    @StatMLPapers
    Jan 28, 2025
    Matrix Calculus (for Machine Learning and Beyond)
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    Matrix Calculus (for Machine Learning and Beyond)
    This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as...
    20K
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    Stat.ML Papers
    @StatMLPapers
    Aug 27, 2024
    Bayesian neural networks via MCMC: a Python-based tutorial
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    arxiv.org
    Bayesian neural networks via MCMC: a Python-based tutorial
    Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain Monte-Carlo...
    34K
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    Stat.ML Papers
    @StatMLPapers
    Jun 14, 2024
    Step-by-Step Diffusion: An Elementary Tutorial
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    arxiv.org
    Step-by-Step Diffusion: An Elementary Tutorial
    We present an accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. We try to simplify the mathematical...
    27K
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    Stat.ML Papers
    @StatMLPapers
    Jul 26, 2024
    Statistical optimal transport
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    arxiv.org
    Statistical optimal transport
    We present an introduction to the field of statistical optimal transport, based on lectures given at École d'Été de Probabilités de Saint-Flour XLIX.
    33K
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    Stat.ML Papers
    @StatMLPapers
    Dec 26, 2022
    Stop using the elbow criterion for k-means and how to choose the number of clusters instead. (arXiv:2212.12189v1 [stat.ML]) ift.tt/TJaIE2X
    63K
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    Stat.ML Papers
    @StatMLPapers
    Oct 4, 2024
    Large Language Models as Markov Chains
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    Large Language Models as Markov Chains
    Large language models (LLMs) are remarkably efficient across a wide range of natural language processing tasks and well beyond them. However, a comprehensive theoretical analysis of the LLMs'...
    28K