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- Xue-Mei Li's articles on arXiv
- Studies in Probability Theory and Related Fields
- Probability Theory and Related Fields — Template for authors
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The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc. MCRF is edited by a group of international leading experts in mathematical control theory and related fields. A key feature of MCRF is the journal's rapid publication, with a special emphasis on the highest scientific standard. The journal is essential reading for scientists and researchers who wish to keep abreast of the latest developments in the field. Select all articles. Select the journal.
See author identifier help for more information about arXiv author identifiers, please report any problems. We gratefully acknowledge support from the Simons Foundation and member institutions. Subjects: Probability math. Comments: To appear in the Journal of Theoretical Probability. Comments: This is the revised second part of arXiv
Xue-Mei Li's articles on arXiv
Vasin , A. Gasnikov , V. Spokoiny , Stopping rules for accelerated gradient methods with additive noise in gradient , Preprint no. Abstract , PDF kByte In this article, we investigate an accelerated first-order method, namely, the method of similar triangles, which is optimal in the class of convex strongly convex problems with a Lipschitz gradient. The paper considers a model of additive noise in a gradient and a Euclidean prox- structure for not necessarily bounded sets. Convergence estimates are obtained in the case of strong convexity and its absence, and a stopping criterion is proposed for not strongly convex problems.
Studies in Probability Theory and Related Fields
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Probability Theory and Related Fields is a peer-reviewed mathematics journal published by Springer. The journal publishes articles on probability. Its MCQ was 2.
Probability Theory and Related Fields — Template for authors
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics.
This journal publishes research papers in modern probability theory, its relations to analysis, geometry and other areas in mathematics, and its various fields of application. It also contains survey papers on emerging areas of importance. Besides the main topics of modern probability theory, the subjects of interests in Probability Theory and Related Fields include applications of probability theory to mathematical statistical physics, ergodic theory, mathematical biology, mathematical statistics, and theoretical computer science.
This journal publishes research papers in modern probability theory, its relations to analysis, geometry and other areas in mathematics, and its various fields of.