Pareto Smoothed Importance Sampling

9 July 2015

Papers citing "Pareto Smoothed Importance Sampling"

27 / 27 papers shown

Title
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 70 4 0 23 Aug 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Bürkner Lu Zhang Bob Carpenter Aki Vehtari 42 6 0 06 Jul 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 39 0 0 26 Apr 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
A Heavy-Tailed Algebra for Probabilistic Programming Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 20 3 0 15 Jun 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 37 3 0 09 Nov 2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 47 1 0 20 Oct 2022
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling Yunshi Huang Émilie Chouzenoux Victor Elvira J. Pesquet BDL 34 5 0 03 Oct 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 26 8 0 11 Jun 2022
Bayesian additive regression trees for probabilistic programming Miriana Quiroga P. Garay J. M. Alonso J. M. Loyola Osvaldo A. Martin 29 6 0 08 Jun 2022
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models Juho Timonen Nikolas Siccha Benjamin B. Bales Harri Lähdesmäki Aki Vehtari 32 3 0 18 May 2022
A principled stopping rule for importance sampling Medha Agarwal Dootika Vats Victor Elvira 33 2 0 30 Aug 2021
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 45 40 0 09 Aug 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi Ma Michael I. Jordan BDL 24 40 0 30 Jun 2021
Conformal Bayesian Computation Edwin Fong Chris Holmes 44 24 0 11 Jun 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 32 7 0 13 Apr 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 29 13 0 23 Jan 2021
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
$Bayesian model selection in the $\mathcal{M}$-open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation$ Bayesian model selection in the $\mathcal{M}$ -open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation Riko Kelter 27 0 0 27 May 2020
Bayesian Item Response Modeling in R with brms and Stan Paul-Christian Bürkner 19 373 0 23 May 2019
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 30 94 0 04 Oct 2018
Robust Covariance Adaptation in Adaptive Importance Sampling Yousef El-Laham Victor Elvira M. Bugallo 19 17 0 31 May 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 16 57 0 09 Feb 2018
BAMBI: An R package for Fitting Bivariate Angular Mixture Models Saptarshi Chakraborty Samuel W. K. Wong 35 16 0 25 Aug 2017
Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling Bruno Nicenboim S. Vasishth 30 68 0 13 Dec 2016
Heretical Multiple Importance Sampling Victor Elvira Luca Martino D. Luengo M. Bugallo 30 38 0 15 Sep 2016