Gibbs sampler and coordinate ascent variational inference: a set-theoretical review

3 August 2020

Papers citing "Gibbs sampler and coordinate ascent variational inference: a set-theoretical review"

7 / 7 papers shown

Title
Quantum Neural Network Restatement of Markov Jump Process Z.Zarezadeh N.Zarezadeh 83 0 0 26 Mar 2025
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 33 0 0 29 Oct 2024
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 143 1 0 08 Oct 2024
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 19 18 0 28 Jan 2022
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions Afshar Shamsi Hamzeh Asgharnezhad AmirReza Tajally Saeid Nahavandi Henry Leung UQCV 44 6 0 07 Oct 2021
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 71 220 0 04 Jul 2012