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Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Ronen Eldan,Bo‘az Klartag,Emanuel Milman Book 2023 The Editor(s) (if applica

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书目名称Geometric Aspects of Functional Analysis
副标题Israel Seminar (GAFA
编辑Ronen Eldan,Bo‘az Klartag,Emanuel Milman
视频video
概述Features an interdisciplinary mix of harmonic analysis, computational geometry, optimization & learning algorithms.Includes a unique combination of papers on convex geometry and high-dimensional analy
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Ronen Eldan,Bo‘az Klartag,Emanuel Milman Book 2023 The Editor(s) (if applica
描述This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension and the concentration of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction
出版日期Book 2023
关键词Geometric Probability; Functional Inequalities; Asymptotic Geometric Analysis; Convex Geometry; Computat
版次1
doihttps://doi.org/10.1007/978-3-031-26300-2
isbn_softcover978-3-031-26299-9
isbn_ebook978-3-031-26300-2Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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,Shephard’s Inequalities, Hodge-Riemann Relations, and a Conjecture of Fedotov,The classic monograph . by Burago and Zalgaller states a conjecture on the validity of higher-order analogues of Shephard’s inequalities, which is attributed to Fedotov. In this note we disprove Fedotov’s conjecture by showing that it contradicts the Hodge-Riemann relations for simple convex polytop
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Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices,bler (KL) divergence assuming . satisfies a log-Sobolev inequality and the Hessian of . is bounded. Notably, we do not assume convexity or bounds on higher derivatives. We prove convergence guarantees in Rényi divergence of order . assuming the limit of ULA satisfies isoperimetry, namely either the
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https://doi.org/10.1007/978-3-319-93272-9 of their present central interests. More precisely, that part of their interests that relates to Asymptotic Geometric Analysis. Many agreed, and I am posting below the short texts I received. After each of them, I will place my comments, as well as some problems that arise when reading these texts.
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https://doi.org/10.1007/978-0-230-21399-9competitive ratio . in any normed space, which is . tight for .. In Euclidean space, our algorithm also achieves competitive ratio ., nearly matching a . lower bound when . is subexponential in .. Our approach extends that of Bubeck et al. (Proceedings of the Fourteenth Annual ACM-SIAM Symposium on
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