A trust-region method for stochastic variational inference with
applications to streaming data

A trust-region method for stochastic variational inference with applications to streaming data

28 May 2015

Matthew D. Hoffman

Papers citing "A trust-region method for stochastic variational inference with applications to streaming data"

8 / 8 papers shown

Title
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities Lilian W. Bialokozowicz TPM 28 0 0 16 Nov 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 39 15 0 23 Sep 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 15 21 0 15 Dec 2020
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 24 55 0 27 Nov 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 8 21 0 24 May 2017
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark W. Schmidt Masashi Sugiyama 28 49 0 31 Oct 2015