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2410.02490
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Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
International Conference on Learning Representations (ICLR), 2024
3 October 2024
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Marcelo Hartmann
Arto Klami
DRL
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Papers citing
"Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold"
22 / 22 papers shown
Non-geodesically-convex optimization in the Wasserstein space
Neural Information Processing Systems (NeurIPS), 2024
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Petrus Mikkola
Marcelo Hartmann
Kai Puolamaki
Arto Klami
464
4
0
08 Jan 2025
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows
Mingxuan Yi
Song Liu
DRL
338
10
0
31 Oct 2023
Variational Inference with Gaussian Score Matching
Neural Information Processing Systems (NeurIPS), 2023
Chirag Modi
C. Margossian
Yuling Yao
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
350
17
0
15 Jul 2023
Provable convergence guarantees for black-box variational inference
Neural Information Processing Systems (NeurIPS), 2023
Justin Domke
Guillaume Garrigos
Robert Mansel Gower
396
29
0
04 Jun 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
International Conference on Machine Learning (ICML), 2023
Michael Diao
Krishnakumar Balasubramanian
Sinho Chewi
Adil Salim
BDL
181
47
0
10 Apr 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
International Conference on Machine Learning (ICML), 2023
Kyurae Kim
Kaiwen Wu
Jisu Oh
Jacob R. Gardner
BDL
538
8
0
18 Mar 2023
On the Approximation Accuracy of Gaussian Variational Inference
Annals of Statistics (Ann. Stat.), 2023
A. Katsevich
Philippe Rigollet
376
30
0
05 Jan 2023
Variational inference via Wasserstein gradient flows
Neural Information Processing Systems (NeurIPS), 2022
Marc Lambert
Sinho Chewi
Francis R. Bach
Silvère Bonnabel
Philippe Rigollet
BDL
DRL
408
101
0
31 May 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler
Sinho Chewi
P. Gerber
Austin J. Stromme
433
54
0
16 Jun 2021
Large-Scale Wasserstein Gradient Flows
Neural Information Processing Systems (NeurIPS), 2021
Petr Mokrov
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Evgeny Burnaev
371
96
0
01 Jun 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation
Statistics and computing (Stat Comput), 2021
Zuheng Xu
Trevor Campbell
444
9
0
13 Apr 2021
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
Wu Lin
Mohammad Emtiyaz Khan
Mark Schmidt
369
35
0
29 Oct 2019
Quasi-Monte Carlo Variational Inference
International Conference on Machine Learning (ICML), 2018
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
BDL
252
67
0
04 Jul 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Andre Wibisono
365
204
0
22 Feb 2018
Gaussian variational approximation for high-dimensional state space models
M. Quiroz
David J. Nott
Robert Kohn
348
39
0
24 Jan 2018
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder
Yuhuai Wu
David Duvenaud
BDL
573
217
0
27 Mar 2017
Automatic Differentiation Variational Inference
A. Kucukelbir
Dustin Tran
Rajesh Ranganath
Andrew Gelman
David M. Blei
350
788
0
02 Mar 2016
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
2.0K
5,521
0
04 Jan 2016
Variational Inference with Normalizing Flows
International Conference on Machine Learning (ICML), 2015
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
1.5K
4,796
0
21 May 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Neural Information Processing Systems (NeurIPS), 2014
Aaron Defazio
Francis R. Bach
Damien Scieur
ODL
920
1,970
0
01 Jul 2014
Black Box Variational Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2013
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
758
1,224
0
31 Dec 2013
Variational Bayesian Inference with Stochastic Search
International Conference on Machine Learning (ICML), 2012
John Paisley
David M. Blei
Sai Li
BDL
357
505
0
27 Jun 2012
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