Constraining Variational Inference with Geometric Jensen-Shannon Divergence

18 June 2020

Papers citing "Constraining Variational Inference with Geometric Jensen-Shannon Divergence"

6 / 6 papers shown

Title
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners Niklas Hanselmann Simon Doll Marius Cordts Hendrik P. A. Lensch Andreas Geiger 44 0 0 12 Nov 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 50 5 0 17 Oct 2024
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks Ponkrshnan Thiagarajan Susanta Ghosh BDL 25 8 0 23 Sep 2022
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes Shihe Wang Jianfeng Ren Ruibin Bai Yuan Yao Xudong Jiang 40 8 0 20 Sep 2022
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 88 183 0 25 Nov 2009