Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations

7 June 2019

Wu Lin

Mohammad Emtiyaz Khan

Mark Schmidt

BDL

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Papers citing "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"

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Title
Variational Formulation of the Particle Flow Particle Filter Yinzhuang Yi Jorge Cortés Nikolay Atanasov 44 0 0 06 May 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 74 0 0 10 Feb 2025
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 50 2 0 19 Jan 2024
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 48 1 0 25 Oct 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 59 9 0 23 May 2023
Variational Bayes Made Easy Mohammad Emtiyaz Khan BDL 34 1 0 27 Apr 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 37 21 0 10 Apr 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 28 2 0 08 Mar 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 39 17 0 21 Feb 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 54 3 0 09 Nov 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 53 15 0 23 Sep 2022
Natural Gradient Variational Inference with Gaussian Mixture Models F. Mahdisoltani BDL 20 1 0 15 Nov 2021
Variational inference for cutting feedback in misspecified models Xue Yu David J. Nott M. Smith 31 13 0 25 Aug 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 68 73 0 09 Jul 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 34 38 0 01 Mar 2021
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 46 6 0 02 Jun 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark Schmidt Mohammad Emtiyaz Khan BDL 44 35 0 24 Feb 2020
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures Wu Lin Mohammad Emtiyaz Khan Mark Schmidt 36 31 0 29 Oct 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 80 268 0 13 Jun 2018
Variational Optimization J. Staines David Barber DRL 71 54 0 18 Dec 2012