Safe and adaptive importance sampling: a mixture approach

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Safe and adaptive importance sampling: a mixture approach

20 March 2019

Franccois Portier

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Papers citing "Safe and adaptive importance sampling: a mixture approach"

7 / 7 papers shown

Title
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 58 3 0 20 Sep 2024
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling Rémi Leluc Franccois Portier Johan Segers Aigerim Zhuman 66 2 0 24 May 2022
Tempered, Anti-trunctated, Multiple Importance Sampling Grégoire Aufort Pierre Pudlo D. Burgarella 55 0 0 03 May 2022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff Anna Korba Franccois Portier 73 14 0 29 Oct 2021
Asymptotic Analysis of Conditioned Stochastic Gradient Descent Rémi Leluc Franccois Portier 75 4 0 04 Jun 2020
Infinite-dimensional gradient-based descent for alpha-divergence minimisation Kamélia Daudel Randal Douc Franccois Portier 82 18 0 20 May 2020
Collective Proposal Distributions for Nonlinear MCMC samplers: Mean-Field Theory and Fast Implementation Grégoire Clarté A. Diez Jean Feydy 71 8 0 18 Sep 2019

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