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We develop a family of infinite-dimensional Banach manifolds of measures on an abstract measurable space, employing charts that are "balanced" between the density and log-density functions. The manifolds, $(\tilde{M}_{\lambda},\lambda\in…

概率论 · 数学 2016-02-10 Nigel J. Newton

We examine the impact of learning Lipschitz continuous models in the context of model-based reinforcement learning. We provide a novel bound on multi-step prediction error of Lipschitz models where we quantify the error using the…

机器学习 · 计算机科学 2018-07-30 Kavosh Asadi , Dipendra Misra , Michael L. Littman

We derive a fully computable aposteriori error estimator for a Galerkin finite element solution of the wave equation with explicit leapfrog time-stepping. Our discrete formulation accommodates both time evolving meshes and leapfrog based…

数值分析 · 数学 2025-06-27 Marcus J. Grote , Omar Lakkis , Carina Santos

This work performs a non-asymptotic analysis of the generalized Lasso under the assumption of sub-exponential data. Our main results continue recent research on the benchmark case of (sub-)Gaussian sample distributions and thereby explore…

统计理论 · 数学 2023-01-18 Martin Genzel , Christian Kipp

We present a new approach to absolute continuity of laws of Poisson functionals. The theoretical framework is that of local Dirichlet forms as a tool to study probability spaces. The method gives rise to a new explicit calculus that we show…

概率论 · 数学 2013-01-29 Nicolas Bouleau , Laurent Denis

We establish an integration by parts formula in an abstract framework in order to study the regularity of the law for processes solution of stochastic differential equations with jumps, including equations with discontinuous coefficients…

概率论 · 数学 2012-09-14 Emmanuelle Clement , Vlad Bally

Providing generalization guarantees for modern neural networks has been a crucial task in statistical learning. Recently, several studies have attempted to analyze the generalization error in such settings by using tools from fractal…

机器学习 · 统计学 2023-07-11 Benjamin Dupuis , George Deligiannidis , Umut Şimşekli

In this paper, we describe an explicit extension formula in sensitivity analysis regarding the Malliavin weight for jump-diffusion mean-field stochastic differential equations whose local Lipschitz drift coefficients are influenced by the…

概率论 · 数学 2025-02-04 Samaneh Sojudi , Mahdieh Tahmasebi

We study a system of semi-linear elliptic partial differential equations with a lower order cubic nonlinear term, and inhomogeneous Dirichlet boundary conditions, relevant for two-dimensional bistable liquid crystal devices, within a…

数值分析 · 数学 2020-12-16 Ruma Rani Maity , Apala Majumdar , Neela Nataraj

This paper applies a discontinuous Galerkin finite element method to the Kelvin-Voigt viscoelastic fluid motion equations when the forcing function is in $L^\infty({\bf L}^2)$-space. Optimal a priori error estimates in $L^\infty({\bf…

数值分析 · 数学 2022-02-10 Saumya Bajpai , Deepjyoti Goswami , Kallol Ray

We obtain an error estimate between viscosity solutions and \delta-viscosity solutions of nonhomogeneous fully nonlinear uniformly elliptic equations. The main assumption, besides uniform ellipticity, is that the nonlinearity is…

偏微分方程分析 · 数学 2016-03-07 Olga Turanova

The Riemann Hypothesis has been of central interest to mathematicians for a long time and many unsuccessful attempts have been made to either prove or disprove it. Since the Riemann zeta function is defined as a sum of the infinite number…

综合数学 · 数学 2012-03-20 Yaroslav D. Sergeyev

We consider the problem of optimising the expected value of a loss functional over a nonlinear model class of functions, assuming that we have only access to realisations of the gradient of the loss. This is a classical task in statistics,…

最优化与控制 · 数学 2026-02-02 Robert Gruhlke , Anthony Nouy , Philipp Trunschke

The design of an experiment can be always be considered at least implicitly Bayesian, with prior knowledge used informally to aid decisions such as the variables to be studied and the choice of a plausible relationship between the…

统计方法学 · 统计学 2017-01-03 David C. Woods , Antony M. Overstall , Maria Adamou , Timothy W. Waite

This document introduces a generalization of calculus that treats both continuous and discrete variables on an equal footing. This generalization of calculus was developed independently of the "Calculus on Time Scales" literature but may be…

经典分析与常微分方程 · 数学 2013-02-26 Jay Kaminsky

We show that the mathematical form of the information measure of Fisher's I for a Gibbs' canonical probability distribution (the most important one in statistical mechanics) incorporates important features of the intrinsic structure of…

统计力学 · 物理学 2007-05-23 F. Pennini , A. Plastino

Let $L$ be an infinitely degenerate second-order linear operator defined on a bounded smooth Euclidean domain. Under weaker conditions than those of H\"ormander, we show that the Dirichlet problem associated with $L$ has a unique smooth…

偏微分方程分析 · 数学 2016-09-07 Denis R. Bell , Salah E. -A. Mohammed

We consider the problem of maximizing a non-concave Lipschitz multivariate function over a compact domain by sequentially querying its (possibly perturbed) values. We study a natural algorithm designed originally by Piyavskii and Shubert in…

机器学习 · 计算机科学 2022-07-06 Clément Bouttier , Tommaso Cesari , Mélanie Ducoffe , Sébastien Gerchinovitz

This paper deals with the computation of the Lerch transcendent by means of the Gauss-Laguerre formula. An a priori estimate of the quadrature error, that allows to compute the number of quadrature nodes necessary to achieve an arbitrary…

数值分析 · 数学 2023-02-24 Eleonora Denich , Paolo Novati

We present a general framework for the rigorous numerical analysis of time-fractional nonlinear parabolic partial differential equations, with a fractional derivative of order $\alpha\in(0,1)$ in time. The framework relies on three…

数值分析 · 数学 2017-12-05 Bangti Jin , Buyang Li , Zhi Zhou