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Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures

29 October 2019

Wu Lin

Mohammad Emtiyaz Khan

Mark Schmidt

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Papers citing "Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures"

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Title
Variational Formulation of the Particle Flow Particle Filter Yinzhuang Yi Jorge Cortés Nikolay Atanasov 71 0 0 06 May 2025
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 151 0 0 03 Oct 2024
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck Arno Solin Theodoros Damoulas 72 1 0 20 Sep 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 59 0 0 29 Apr 2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard Turner Alireza Makhzani ODL 161 13 0 05 Feb 2024
Channelling Multimodality Through a Unimodalizing Transport: Warp-U Sampler and Stochastic Bridge Sampling Fei Ding David E. Jones Shiyuan He Xiao-Li Meng OT 51 0 0 01 Jan 2024
Detecting Toxic Flow Álvaro Cartea Gerardo Duran-Martin Leandro Sánchez-Betancourt 59 8 0 10 Dec 2023
GLIME: General, Stable and Local LIME Explanation Zeren Tan Yang Tian Jian Li FAtt LRM 83 20 0 27 Nov 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma Max Torop A. Masoomi Davin Hill Kivanc Kose Stratis Ioannidis Jennifer Dy 125 4 0 01 Nov 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 70 2 0 25 Apr 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 52 3 0 08 Mar 2023
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 126 17 0 23 Sep 2022
Variational inference via Wasserstein gradient flows Marc Lambert Sinho Chewi Francis R. Bach Silvère Bonnabel Philippe Rigollet BDL DRL 101 77 0 31 May 2022
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 98 16 0 02 Nov 2021
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation Linda S. L. Tan 108 13 0 01 Sep 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 165 83 0 09 Jul 2021
Stein Latent Optimization for Generative Adversarial Networks Uiwon Hwang Heeseung Kim Dahuin Jung Hyemi Jang Hyungyu Lee Sungroh Yoon GAN 119 2 0 09 Jun 2021
Tractable structured natural gradient descent using local parameterizations Wu Lin Frank Nielsen Mohammad Emtiyaz Khan Mark Schmidt 146 30 0 15 Feb 2021
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin Mark Schmidt Mohammad Emtiyaz Khan BDL 181 36 0 24 Feb 2020
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations Wu Lin Mohammad Emtiyaz Khan Mark Schmidt BDL 111 71 0 07 Jun 2019