Math 2.0

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Markov Chain Convergence in Kernel-Induced Geometry JS2JSD0507

URIm2://res/JS2JSD0507
Kindpreprint
CreatorsOleksii Kachaiev, Luc Brogat-Motte, Silvia Villa, Lorenzo Rosasco
Date2026-10-09
MSC60-XX
Subjectsarxiv math.PR, arxiv stat.ML
Scopein

Expressions

e1: version, preprint

Languageen
Date2026-10-09
IdsarXiv 2610.13916, zbl_id 903206462

Items in this resource

The mentions of the inventory that name this resource. Each name links to the card of its inventory row.

ItemKindWhereSource
Stochastic dynamical systemexampleexample 3.11arxiv
Almost-sure convergencestatementcorollary 3.8arxiv
Deterministic map.exampleexample 3.9arxiv
Nonstationary Bernstein inequalitystatementtheorem A.2arxiv
Noisy rotation on the torusexampleexample 3.17arxiv
Non-asymptotic error boundstatementproposition 4.5arxiv
8EZA74PG6Ystatementtheorem 4.4arxiv
Noisy expanding map on the torusexampleexample 3.18arxiv
B9PNHDPS5Zstatementlemma A.4arxiv
Hilbert-scale contraction implies uniform geometric MMD relaxationstatementproposition 3.13arxiv
Empirical occupation measure convergence in MMD from a non-stationary initial measurestatementtheorem 3.6arxiv
Affine transformations of feature mapsstatementproposition 3.1arxiv
Occupation measure bound without a spectral gapstatementcorollary 3.7arxiv
Localized Pinelis--Bernstein inequalitystatementtheorem A.3arxiv
Fourier contraction formulastatementlemma B.1arxiv
Commuting Markov and feature operatorsstatementcorollary 3.16arxiv
Comparison and uniform relaxation of IPMsstatementproposition 2.1arxiv
S1N0VJHPJTstatementproposition 2.8arxiv
Empirical occupation measure convergence in MMDstatementtheorem 3.3arxiv
Stationary Bernstein inequalitystatementtheorem A.1arxiv

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