Nonparametric likelihood-free inference with Jensen-Shannon divergence
for simulator-based models with categorical output

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Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output

22 May 2022

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Papers citing "Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output"

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Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
General formulas for the central and non-central moments of the multinomial distribution Frédéric Ouimet 54 16 0 26 Dec 2020
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 185 855 0 04 Nov 2019
ELFI: Engine for Likelihood-Free Inference Jarno Lintusaari H. Vuollekoski A. Kangasrääsiö Kusti Skytén Marko Jarvenpaa Pekka Marttinen Michael U. Gutmann Aki Vehtari J. Corander Samuel Kaski 55 73 0 02 Aug 2017
Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties Rui Tuo C. F. Jeff Wu 40 8 0 03 Mar 2017
Summary Statistics in Approximate Bayesian Computation D. Prangle 34 48 0 17 Dec 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 157 287 0 14 Jan 2015
On the Convergence of the Empirical Distribution D. Berend A. Kontorovich 88 15 0 30 May 2012