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"

8 / 8 papers shown

Title
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 56 1 0 28 Jan 2025
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 38 0 0 25 Oct 2023
DPVIm: Differentially Private Variational Inference Improved Joonas Jälkö Lukas Prediger Antti Honkela Samuel Kaski 16 3 0 28 Oct 2022
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 34 73 0 09 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 20 19 0 23 Jun 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt Arno Solin Richard E. Turner 6 8 0 18 Jun 2021
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark W. Schmidt Mohammad Emtiyaz Khan BDL 16 35 0 24 Feb 2020
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 80 183 0 25 Nov 2009