Sliced Wasserstein Variational Inference

26 July 2022

Papers citing "Sliced Wasserstein Variational Inference"

28 / 28 papers shown

Title
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le Trung Quoc Nguyen OT 84 5 0 14 Mar 2025
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 99 0 0 10 Sep 2024
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi-An Ma Michael I. Jordan BDL 123 40 0 30 Jun 2021
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 49 1 0 02 Oct 2020
f-Divergence Variational Inference Neng Wan Dapeng Li N. Hovakimyan 71 35 0 28 Sep 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 153 54 0 23 Mar 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 41 86 0 12 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance Kimia Nadjahi Alain Durmus Umut Simsekli Roland Badeau MedIm 56 63 0 11 Jun 2019
Estimating Convergence of Markov chains with L-Lag Couplings N. Biswas Pierre E. Jacob Paul Vanetti 54 48 0 23 May 2019
A Contrastive Divergence for Combining Variational Inference and MCMC Francisco J. R. Ruiz Michalis K. Titsias BDL 47 60 0 10 May 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang-Shu Liu Jingwei Zhuo Jun Zhu 68 22 0 01 Feb 2019
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 86 42 0 29 May 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 55 226 0 29 Mar 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models Soheil Kolouri Gustavo K. Rohde Heiko Hoffmann 51 123 0 15 Nov 2017
Learning to Draw Samples with Amortized Stein Variational Gradient Descent Yihao Feng Dilin Wang Qiang Liu GAN BDL 61 81 0 20 Jul 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 201 9,546 0 31 Mar 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 63 62 0 27 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 115 529 0 17 Jan 2017
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 48 116 0 27 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 68 1,092 0 16 Aug 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 91 262 0 06 Feb 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,179 0 21 May 2015
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 91 183 0 11 Jun 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 212 4,259 0 04 Jun 2013
Variational Bayesian Inference with Stochastic Search John Paisley David M. Blei Michael I. Jordan BDL 106 500 0 27 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,281 0 09 Jun 2012