Streaming Variational Bayes

25 July 2013

Papers citing "Streaming Variational Bayes"

44 / 44 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Luu Anh Tuan Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Predictive Coresets Bernardo Flores 57 0 0 08 Feb 2025
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 41 1 0 16 May 2024
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models Bao Anh Vu David Gunawan A. Zammit‐Mangion DRL 12 1 0 01 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
Streaming LifeLong Learning With Any-Time Inference S. Banerjee Vinay K. Verma Vinay P. Namboodiri CLL 32 3 0 27 Jan 2023
Streaming Inference for Infinite Non-Stationary Clustering Rylan Schaeffer Gabrielle K. Liu Yilun Du Scott W. Linderman Ila Rani Fiete 32 1 0 02 May 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
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction Shanyan Guan Jingwei Xu Yunbo Wang Bingbing Ni Xiaokang Yang 3DH 33 50 0 30 Mar 2021
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation Shunkai Li Xin Wu Yingdian Cao H. Zha 20 41 0 29 Mar 2021
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 23 45 0 11 Sep 2020
Model Fusion with Kullback--Leibler Divergence Sebastian Claici Mikhail Yurochkin S. Ghosh Justin Solomon FedML MoMe 21 33 0 13 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 26 34 0 19 Jun 2020
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection Johannes Haug Martin Pawelczyk Klaus Broelemann Gjergji Kasneci 17 12 0 18 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 27 104 0 09 Jun 2020
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 24 39 0 08 Aug 2019
Hierarchical Optimal Transport for Document Representation Mikhail Yurochkin Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon OT 18 90 0 26 Jun 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 159 0 14 Jun 2019
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 31 21 0 04 Jun 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 28 25 0 24 May 2019
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 19 55 0 27 Nov 2018
Scalable Bayesian Nonparametric Clustering and Classification Yang Ni Peter Muller M. Diesendruck Sinead Williamson Yitan Zhu Yuan Ji 17 26 0 07 Jun 2018
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems Zihao Xiao Jianfei Chen Jun Zhu BDL 12 0 0 10 Apr 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 22 136 0 05 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Techreport: Time-sensitive probabilistic inference for the edge Christian Weilbach Annette Bieniusa 20 0 0 30 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 36 726 0 29 Oct 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 24 32 0 26 Sep 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 30 666 0 24 Mar 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 36 193 0 13 Jan 2017
Coresets for Scalable Bayesian Logistic Regression Jonathan H. Huggins Trevor Campbell Tamara Broderick 24 216 0 20 May 2016
Simple, Scalable and Accurate Posterior Interval Estimation Cheng Li Sanvesh Srivastava David B. Dunson 13 54 0 13 May 2016
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling Christophe Dupuy Francis R. Bach 13 17 0 08 Mar 2016
Scaling up Dynamic Topic Models Arnab Bhadury Jianfei Chen Jun Zhu Shixia Liu BDL 30 67 0 19 Feb 2016
Streaming, Distributed Variational Inference for Bayesian Nonparametrics Trevor Campbell Julian Straub John W. Fisher III Jonathan P. How 13 41 0 30 Oct 2015
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation Jianfei Chen Kaiwei Li Jun Zhu Wenguang Chen 22 69 0 29 Oct 2015
Variational consensus Monte Carlo Maxim Rabinovich E. Angelino Michael I. Jordan 24 50 0 09 Jun 2015
A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis Matthew D. Hoffman 18 42 0 28 May 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 26 126 0 10 Feb 2015
Model-Parallel Inference for Big Topic Models Xun Zheng Jin Kyu Kim Qirong Ho Eric P. Xing MoE AI4CE 31 7 0 10 Nov 2014
Bayesian Conditional Density Filtering S. Qamar Rajarshi Guhaniyogi David B. Dunson 45 11 0 15 Jan 2014
Online Bayesian Passive-Aggressive Learning Tianlin Shi Jun Zhu 61 38 0 12 Dec 2013
Online Variational Bayes Inference for High-Dimensional Correlated Data Sylvie (Tchumtchoua) Kabisa David B. Dunson Jeffrey S. Morris 84 16 0 04 Aug 2011