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Monte Carlo Variational Auto-Encoders


Jun 30, 2021
Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov


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Wide stochastic networks: Gaussian limit and PAC-Bayesian training


Jun 17, 2021
Eugenio Clerico, George Deligiannidis, Arnaud Doucet

* 20 pages, 2 figures 

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Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling


Jun 16, 2021
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet

* 57 pages, 17 figures 

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On Instrumental Variable Regression for Deep Offline Policy Evaluation


May 21, 2021
Yutian Chen, Liyuan Xu, Caglar Gulcehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet


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Invertible Flow Non Equilibrium sampling


Mar 17, 2021
Achille Thin, Yazid Janati, Sylvain Le Corff, Charles Ollion, Arnaud Doucet, Alain Durmus, Eric Moulines, Christian Robert


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COIN: COmpression with Implicit Neural representations


Mar 03, 2021
Emilien Dupont, Adam Goliński, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet


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Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding


Feb 22, 2021
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison


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Differentiable Particle Filtering via Entropy-Regularized Optimal Transport


Feb 15, 2021
Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis


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Annealed Flow Transport Monte Carlo


Feb 15, 2021
Michael Arbel, Alexander G. D. G. Matthews, Arnaud Doucet


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Generative Models as Distributions of Functions


Feb 09, 2021
Emilien Dupont, Yee Whye Teh, Arnaud Doucet


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Learning Deep Features in Instrumental Variable Regression


Nov 01, 2020
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton


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Stable ResNet


Oct 24, 2020
Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau

* 42 pages, 3 figures 

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Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains


Oct 05, 2020
Francisco J. R. Ruiz, Michalis K. Titsias, Taylan Cemgil, Arnaud Doucet

* 16 pages, 4 figures 

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Variational Inference with Continuously-Indexed Normalizing Flows


Jul 10, 2020
Anthony Caterini, Rob Cornish, Dino Sejdinovic, Arnaud Doucet

* To appear in the proceedings of the second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models at ICML 2020 

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Pruning untrained neural networks: Principles and Analysis


Feb 19, 2020
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

* 50 pages, 12 figures 

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Schrödinger Bridge Samplers


Dec 31, 2019
Espen Bernton, Jeremy Heng, Arnaud Doucet, Pierre E. Jacob

* 53 pages and 9 figures 

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Localised Generative Flows


Sep 30, 2019
Rob Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet


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Modular Meta-Learning with Shrinkage


Sep 12, 2019
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas

* 14 pages (4 main, 8 supplement), under review 

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Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel


Jun 07, 2019
Soufiane Hayou, Arnaud Doucet, Judith Rousseau

* 19 pages, 13 figures 

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Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting


May 23, 2019
Maxime Vono, Daniel Paulin, Arnaud Doucet

* 41 pages 

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Augmented Neural ODEs


Apr 02, 2019
Emilien Dupont, Arnaud Doucet, Yee Whye Teh


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Bernoulli Race Particle Filters


Mar 03, 2019
Sebastian M Schmon, Arnaud Doucet, George Deligiannidis

* The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019) 
* 19 pages 

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On the Impact of the Activation Function on Deep Neural Networks Training


Feb 19, 2019
Soufiane Hayou, Arnaud Doucet, Judith Rousseau

* 35 pages 

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Unbiased Smoothing using Particle Independent Metropolis-Hastings


Feb 05, 2019
Lawrence Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob

* 13 pages 

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Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets


Jan 30, 2019
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet


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