Effective Sample Size for Importance Sampling based on discrepancy measures

10 February 2016

Papers citing "Effective Sample Size for Importance Sampling based on discrepancy measures"

49 / 49 papers shown

Title
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 64 0 0 24 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 107 0 0 13 Feb 2025
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals E. Curbelo Luca Martino F. Llorente D. Delgado-Gomez 40 1 0 03 Jan 2025
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 24 0 0 18 Oct 2024
Multi-Objective Recommendation via Multivariate Policy Learning Olivier Jeunen Jatin Mandav Ivan Potapov Nakul Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko OffRL 16 3 0 03 May 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 26 0 0 29 Apr 2024
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations Henrik Schopmans Pascal Friederich AI4CE 20 1 0 02 Feb 2024
Accelerated Sampling of Rare Events using a Neural Network Bias Potential Xinru Hua R. Ahmad Jose Blanchet Wei Cai AI4CE 66 3 0 13 Jan 2024
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules Joseph C. Kim David Bloore Karan Kapoor Jun Feng Ming-Hong Hao Mengdi Wang 37 7 0 08 Jan 2024
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Fei Wu OOD 27 1 0 19 Dec 2023
Adaptive importance sampling for heavy-tailed distributions via $α$ -divergence minimization Thomas Guilmeau Nicola Branchini Émilie Chouzenoux Victor Elvira 26 2 0 25 Oct 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Xiongjie Chen Yunpeng Li 19 14 0 19 Feb 2023
Entropy minimizing distributions are worst-case optimal importance proposals Frédéric Cérou P. Héas Mathias Rousset 13 3 0 08 Dec 2022
Truncated proposals for scalable and hassle-free simulation-based inference Michael Deistler P. J. Gonçalves Jakob H Macke 22 48 0 10 Oct 2022
Efficient probabilistic reconciliation of forecasts for real-valued and count time series Lorenzo Zambon Dario Azzimonti Giorgio Corani BDL AI4TS 21 5 0 05 Oct 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis 50 7 0 09 Sep 2022
Variance Analysis of Multiple Importance Sampling Schemes R. Mukerjee Victor Elvira 16 1 0 09 Jul 2022
Guided sequential ABC schemes for intractable Bayesian models Umberto Picchini M. Tamborrino 53 8 0 24 Jun 2022
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis Ivette Raices Cruz J. Lindström Matthias C. M. Troffaes U. Sahlin 19 12 0 17 Jun 2022
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 17 5 0 22 Nov 2021
PriorVAE: Encoding spatial priors with VAEs for small-area estimation Elizaveta Semenova Yidan Xu A. Howes T. Rashid Samir Bhatt Swapnil Mishra Seth Flaxman 9 11 0 20 Oct 2021
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 14 153 0 25 Jul 2021
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing Luca Martino Victor Elvira J. Lopez-Santiago Gustau Camps-Valls 13 4 0 18 Jul 2021
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 24 131 0 03 Jun 2021
MCMC-driven importance samplers F. Llorente E. Curbelo Luca Martino Victor Elvira D. Delgado 27 11 0 06 May 2021
Advances in Importance Sampling Victor Elvira Luca Martino AI4TS 40 103 0 10 Feb 2021
Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli Matteo Papini P. DÓro Marcello Restelli OffRL 11 10 0 15 Dec 2020
Deep Importance Sampling based on Regression for Model Inversion and Emulation F. Llorente Luca Martino D. Delgado G. Camps-Valls 21 19 0 20 Oct 2020
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation Felipe Maia Polo R. Vicente 6 16 0 02 Oct 2020
Cluster Prediction for Opinion Dynamics from Partial Observations Zehong Zhang Fei Lu 20 3 0 04 Jul 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 19 83 0 17 May 2020
Importance Gaussian Quadrature Victor Elvira Luca Martino Pau Closas 16 34 0 09 Jan 2020
Tree pyramidal adaptive importance sampling J. Felip Nilesh A. Ahuja Omesh Tickoo 14 4 0 18 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 11 63 0 11 Dec 2019
Probabilistic Regressor Chains with Monte Carlo Methods Jesse Read Luca Martino BDL UQCV AI4CE LRM 22 11 0 18 Jul 2019
Importance Resampling for Off-policy Prediction M. Schlegel Wesley Chung Daniel Graves Jian Qian Martha White OffRL 6 41 0 11 Jun 2019
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 6 16 0 10 Nov 2018
Policy Optimization via Importance Sampling Alberto Maria Metelli Matteo Papini Francesco Faccio Marcello Restelli OffRL 11 89 0 17 Sep 2018
Rethinking the Effective Sample Size Victor Elvira Luca Martino Christian P. Robert 19 67 0 11 Sep 2018
Robust Covariance Adaptation in Adaptive Importance Sampling Yousef El-Laham Victor Elvira M. Bugallo 11 17 0 31 May 2018
Probability measure changes in Monte Carlo simulation Jiaxin Zhang Michael D. Shields 18 2 0 24 Mar 2018
A Review of Multiple Try MCMC algorithms for Signal Processing Luca Martino 19 80 0 27 Jan 2018
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization Shanyun Liu R. She Pingyi Fan 16 8 0 22 Jan 2018
Symmetrized importance samplers for stochastic differential equations Andrew B. Leach Kevin K. Lin M. Morzfeld 11 4 0 10 Jul 2017
Group Importance Sampling for Particle Filtering and MCMC Luca Martino Victor Elvira G. Camps-Valls 67 66 0 10 Apr 2017
How to avoid the curse of dimensionality: scalability of particle filters with and without importance weights S. C. Surace A. Kutschireiter J. Pfister 25 39 0 22 Mar 2017
Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility Luca Martino Jesse Read Victor Elvira F. Louzada 14 130 0 25 Sep 2016
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering Badong Chen Lei Xing Bin Xu Haiquan Zhao Nanning Zheng José C. Príncipe 16 143 0 01 Aug 2016
Improved Adaptive Rejection Metropolis Sampling Algorithms Luca Martino Jesse Read D. Luengo 35 85 0 24 May 2012