Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

27 July 2023

Papers citing "Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?"

6 / 6 papers shown

Title
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 Oct 2024
Efficient Mixture Learning in Black-Box Variational Inference A. Hotti Oskar Kviman Ricky Molén Victor Elvira Jens Lagergren 49 1 0 11 Jun 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 45 0 0 30 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 35 2 0 29 May 2024
On the Difficulty of Unbiased Alpha Divergence Minimization Tomas Geffner Justin Domke 58 18 0 19 Oct 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference Tomas Geffner Justin Domke 45 6 0 05 Nov 2019