Convergence Rates of Variational Inference in Sparse Deep Learning

9 August 2019

Papers citing "Convergence Rates of Variational Inference in Sparse Deep Learning"

12 / 12 papers shown

Title
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 60 3 0 05 Jun 2024
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 42 5 0 04 Mar 2024
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 28 3 0 05 Jul 2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 19 4 0 08 Mar 2023
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 43 85 0 16 Jun 2022
On the inability of Gaussian process regression to optimally learn compositional functions M. Giordano Kolyan Ray Johannes Schmidt-Hieber 39 12 0 16 May 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 19 2 0 26 Apr 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 60 196 0 21 Oct 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 56 72 0 29 Sep 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 454 0 03 Dec 2007