Papers citing 'Big Learning with Bayesian Methods'

Title
Federated Variational Inference for Bayesian Mixture Models Jackie Rao Francesca L. Crowe Tom Marshall S. Richardson Paul D. W. Kirk FedML 271 0 0 18 Feb 2025
Multimodal Road Network Generation Based on Large Language Model Jiajing Chen Weihang Xu Haiming Cao Zihuan Xu Yu Zhang Zhao Zhang Siyao Zhang 143 2 0 09 Apr 2024
Pigeons.jl: Distributed Sampling From Intractable DistributionsJuliaCon Proceedings (JuliaCon), 2023 Nikola Surjanovic Miguel Biron-Lattes P. Tiede Saifuddin Syed Trevor Campbell Alexandre Bouchard-Côté 160 3 0 18 Aug 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 246 3 0 23 Mar 2023
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 365 23 0 28 Jan 2022
Estimation & Recognition under Perspective of Random-Fuzzy Dual Interpretation of Unknown Quantity: with Demonstration of IMM Filter Wei Mei Yunfeng Xu Limin Liu 148 1 0 20 Oct 2021
A Survey of Monte Carlo Methods for Parameter EstimationEURASIP Journal on Advances in Signal Processing (EURASIP JASP), 2020 D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 175 185 0 25 Jul 2021
Is there a role for statistics in artificial intelligence?Advances in Data Analysis and Classification (ADAC), 2020 Sarah Friedrich G. Antes S. Behr Harald Binder W. Brannath ... H. Leitgöb Markus Pauly A. Steland A. Wilhelm T. Friede 148 59 0 13 Sep 2020
Deep Active Learning by Model Interpretability Qiang Liu Zhaocheng Liu Xiaofang Zhu Yeliang Xiu 206 4 0 23 Jul 2020
A Survey of Bayesian Statistical Approaches for Big Data Farzana Jahan Insha Ullah Kerrie Mengersen 233 16 0 08 Jun 2020
Machine Learning Econometrics: Bayesian algorithms and methods Dimitris Korobilis Davide Pettenuzzo 56 2 0 23 Apr 2020
Distributed Computation for Marginal Likelihood based Model ChoiceBayesian Analysis (BA), 2019 Alexander K. Buchholz Daniel Ahfock S. Richardson FedML 272 5 0 10 Oct 2019
Real time analysis of epidemic data Jessica Welding P. Neal 63 4 0 25 Sep 2019
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy dataStructural Safety (SS), 2019 Xihaier Luo A. Kareem BDL UQCV 99 30 0 08 Jul 2019
A Bayesian Perspective of Statistical Machine Learning for Big DataComputational statistics (Zeitschrift) (Comput. Stat.), 2018 R. Sambasivan Sourish Das S. Sahu BDL GP 173 21 0 09 Nov 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 293 77 0 14 Aug 2018
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 131 43 0 18 Sep 2017
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2016 Kaiwei Li Jianfei Chen Wenguang Chen Jun Zhu 104 21 0 08 Oct 2016
Optimal approximating Markov chains for Bayesian inference J. Johndrow Jonathan C. Mattingly Sayan Mukherjee David B. Dunson 250 31 0 13 Aug 2015
Fast Sampling for Bayesian Max-Margin Models Wenbo Hu Jun Zhu Bo Zhang BDL 228 0 0 27 Apr 2015
ELM-Based Distributed Cooperative Learning Over Networks Wu Ai Weisheng Chen 169 1 0 04 Apr 2015
On the Relationship between Sum-Product Networks and Bayesian Networks Haiying Zhao Mazen Melibari Pascal Poupart TPM 324 94 0 06 Jan 2015
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets Natesh S. Pillai Aaron Smith 255 59 0 01 May 2014