Gradient Estimation with Discrete Stein Operators

19 February 2022

Papers citing "Gradient Estimation with Discrete Stein Operators"

7 / 7 papers shown

Title
Secrets of GFlowNets' Learning Behavior: A Theoretical Study Tianshu Yu 14 0 0 04 May 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 74 62 0 17 Jan 2025
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 42 9 0 30 Jul 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 41 2 0 28 Jun 2024
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 18 20 0 17 Apr 2023
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 16 9 0 19 Oct 2022
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 127 48 0 20 Oct 2020