Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models

12 July 2018

Papers citing "Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models"

17 / 17 papers shown

Title
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 58 1 0 28 Jan 2025
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC Wu Lin Felix Dangel Runa Eschenhagen Kirill Neklyudov Agustinus Kristiadi Richard E. Turner Alireza Makhzani 22 3 0 09 Dec 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 40 0 0 25 Oct 2023
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 31 3 0 09 Nov 2022
DPVIm: Differentially Private Variational Inference Improved Joonas Jälkö Lukas Prediger Antti Honkela Samuel Kaski 28 3 0 28 Oct 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 37 2 0 26 Oct 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models O. Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 39 15 0 23 Sep 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard E. Turner FedML 19 12 0 24 Feb 2022
Dual Parameterization of Sparse Variational Gaussian Processes Vincent Adam Paul E. Chang Mohammad Emtiyaz Khan Arno Solin 19 20 0 05 Nov 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 55 73 0 09 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 45 19 0 23 Jun 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt Arno Solin Richard E. Turner 21 8 0 18 Jun 2021
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark W. Schmidt Mohammad Emtiyaz Khan BDL 34 35 0 24 Feb 2020
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard E. Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 47 240 0 06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 21 195 0 06 Jun 2019
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 85 183 0 25 Nov 2009