Optimized Population Monte Carlo

14 April 2022

Papers citing "Optimized Population Monte Carlo"

15 / 15 papers shown

Title
A Proximal Newton Adaptive Importance Sampler Victor Elvira Émilie Chouzenoux O. Deniz Akyildiz 81 0 0 21 Dec 2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning Sofya Dymchenko Abhishek Purandare Bruno Raffin AI4CE 26 0 0 08 Oct 2024
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 27 2 0 20 Sep 2024
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo M. Karamanis U. Seljak 31 0 0 30 Jul 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 26 0 0 29 Apr 2024
Adaptive importance sampling for heavy-tailed distributions via $α$ -divergence minimization Thomas Guilmeau Nicola Branchini Émilie Chouzenoux Victor Elvira 34 2 0 25 Oct 2023
Adaptively Optimised Adaptive Importance Samplers Carlos Alberto Cardoso Correia Perello Ömer Deniz Akyildiz 20 1 0 18 Jul 2023
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems Robert J. Moss Mykel J. Kochenderfer Maxime Gariel Arthur Dubois 27 3 0 03 May 2023
Gradient-based Adaptive Importance Samplers Victor Elvira Émilie Chouzenoux Ömer Deniz Akyildiz Luca Martino DiffM 17 10 0 19 Oct 2022
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling Yunshi Huang Émilie Chouzenoux Victor Elvira J. Pesquet BDL 21 5 0 03 Oct 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 19 11 0 30 Sep 2022
Variance Analysis of Multiple Importance Sampling Schemes R. Mukerjee Victor Elvira 16 1 0 09 Jul 2022
A principled stopping rule for importance sampling Medha Agarwal Dootika Vats Victor Elvira 25 2 0 30 Aug 2021
Advances in Importance Sampling Victor Elvira Luca Martino AI4TS 40 103 0 10 Feb 2021
Gradient Importance Sampling Ingmar Schuster 25 25 0 21 Jul 2015