Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference

18 March 2023

Papers citing "Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference"

7 / 7 papers shown

Title
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 46 0 0 03 Oct 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 45 0 0 30 May 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 33 2 0 19 Jan 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? Kyurae Kim Yian Ma Jacob R. Gardner 34 5 0 27 Jul 2023
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi Ma Jacob R. Gardner BDL 48 15 0 24 May 2023
A Rule for Gradient Estimator Selection, with an Application to Variational Inference Tomas Geffner Justin Domke 48 6 0 05 Nov 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,204 0 16 Aug 2016