Discriminative calibration: Check Bayesian computation from simulations
and flexible classifier

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Discriminative calibration: Check Bayesian computation from simulations and flexible classifier

24 May 2023

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Papers citing "Discriminative calibration: Check Bayesian computation from simulations and flexible classifier"

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Title
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Bürkner Stefan T. Radev BDL 61 10 0 27 Jan 2023
Validation Diagnostics for SBI algorithms based on Normalizing Flows J. Linhart Alexandre Gramfort P. L. C. R. M. -. Inria 67 7 0 17 Nov 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 71 135 0 23 Jun 2021
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations Justin Domke 22 9 0 25 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 259 198 0 12 Jan 2021
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference M. Vandegar Michael Kagan Antoine Wehenkel Gilles Louppe 60 28 0 11 Nov 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,713 0 05 Dec 2019
Assessment and adjustment of approximate inference algorithms using the law of total variance Xue Yu David J. Nott Minh-Ngoc Tran Nadja Klein 63 15 0 20 Nov 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 190 854 0 04 Nov 2019
$Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC$ Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC Aki Vehtari Andrew Gelman Daniel P. Simpson Bob Carpenter Paul-Christian Bürkner 52 940 0 19 Mar 2019
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 132 223 0 06 Mar 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 158 1,659 0 02 Jun 2016
Valid post-selection inference R. Berk L. Brown A. Buja Kai Zhang Linda H. Zhao 263 586 0 05 Jun 2013
Information, Divergence and Risk for Binary Experiments Mark D. Reid Robert C. Williamson 122 231 0 05 Jan 2009