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E-Valuating Classifier Two-Sample Tests


Oct 24, 2022
Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré

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A Variational Perspective on Generative Flow Networks


Oct 14, 2022
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth

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Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport


Feb 07, 2022
Liyi Zhang, Christian A. Naesseth, David M. Blei

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* 14 pages, 8 figures 

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Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference


Jun 17, 2021
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David Blei, Itsik Pe'er

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* 15 pages, 9 figures 

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Markovian Score Climbing: Variational Inference with KL(p||q)


Mar 23, 2020
Christian A. Naesseth, Fredrik Lindsten, David Blei

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Elements of Sequential Monte Carlo


Mar 12, 2019
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

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* Under review at Foundations and Trends in Machine Learning 

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Variational Sequential Monte Carlo


Feb 21, 2018
Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, David M. Blei

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Interacting Particle Markov Chain Monte Carlo


Apr 12, 2017
Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank Wood

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* JMLR W&CP 48 : 2616-2625, 2016 

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Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms


Mar 10, 2017
Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei

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