Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning

28 January 2021

Papers citing "Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning"

10 / 10 papers shown

Title
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 186 914 0 28 Feb 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,705 0 15 Mar 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 176 3,659 0 24 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 272 4,787 0 04 Jan 2016
Stochastic gradient variational Bayes for gamma approximating distributions David A. Knowles BDL 99 51 0 04 Sep 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 185 1,886 0 20 May 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Eric Moulines 89 405 0 10 Jun 2013
Expectation Propagation for approximate Bayesian inference T. Minka 129 1,907 0 10 Jan 2013
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 78 89 0 09 Nov 2012