Adaptive variational Bayes: Optimality, computation and applications

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Adaptive variational Bayes: Optimality, computation and applications

7 September 2021

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Papers citing "Adaptive variational Bayes: Optimality, computation and applications"

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Title
Robust and Scalable Variational Bayes Carlos Misael Madrid Padilla Shitao Fan Lizhen Lin 106 0 0 16 Apr 2025
Adaptive sparse variational approximations for Gaussian process regression Dennis Nieman Botond Szabó 103 0 0 04 Apr 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 123 0 0 14 Mar 2025
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 100 0 0 17 Nov 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 126 4 0 05 Jun 2024
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 106 5 0 04 Mar 2024
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 72 4 0 21 Apr 2023
Scalable and adaptive variational Bayes methods for Hawkes processes Déborah Sulem Vincent Rivoirard Judith Rousseau 68 0 0 01 Dec 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 42 1 0 02 Jun 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 76 17 0 09 May 2021