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Michael Gutmann

An Extendable Python Implementation of Robust Optimisation Monte Carlo

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Sep 19, 2023
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Enhanced gradient-based MCMC in discrete spaces

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Jul 29, 2022
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Extending the statistical software package Engine for Likelihood-Free Inference

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Nov 08, 2020
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Neural Approximate Sufficient Statistics for Implicit Models

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Oct 20, 2020
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Parallel Gaussian process surrogate method to accelerate likelihood-free inference

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May 03, 2019
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Efficient Bayesian Experimental Design for Implicit Models

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Oct 23, 2018
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Variational Noise-Contrastive Estimation

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Oct 19, 2018
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Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria

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Feb 16, 2018
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A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models

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Mar 15, 2012
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Bregman divergence as general framework to estimate unnormalized statistical models

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Feb 14, 2012
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