v1v2 (latest)

A Bayesian Perspective of Statistical Machine Learning for Big Data

9 November 2018

Papers citing "A Bayesian Perspective of Statistical Machine Learning for Big Data"

23 / 23 papers shown

Title
Data Science Methodology for Cybersecurity Projects F. Foroughi P. Luksch 10 32 0 12 Mar 2018
Optimal Bayesian Transfer Learning Alireza Karbalayghareh Xiaoning Qian E. R. Dougherty BDL 49 79 0 02 Jan 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 161 486 0 21 Dec 2017
Big Data Regression Using Tree Based Segmentation R. Sambasivan Sourish Das 27 6 0 24 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
A Statistical Machine Learning Approach to Yield Curve Forecasting R. Sambasivan Sourish Das AI4TS 31 22 0 04 Mar 2017
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 246 3,216 0 15 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 285 4,793 0 04 Jan 2016
Fast Gaussian Process Regression for Big Data Sourish Das Sasanka Roy R. Sambasivan GP 36 48 0 17 Sep 2015
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains B. Rajaratnam Doug Sparks 125 66 0 05 Aug 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 435 664 0 11 Jul 2015
Efficient Machine Learning for Big Data: A Review Omar Y. Al-Jarrah Paul D. Yoo Sami Muhaidat G. Karagiannidis K. Taha 50 556 0 18 Mar 2015
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 406 84 0 24 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
Minimax-optimal nonparametric regression in high dimensions Yun Yang S. Tokdar 72 93 0 28 Jan 2014
A PAC-Bayesian bound for Lifelong Learning Anastasia Pentina Christoph H. Lampert CLL 80 210 0 12 Nov 2013
Learning by Transduction A. Gammerman V. Vovk V. Vapnik 186 514 0 30 Jan 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,942 0 13 Jun 2012
Distributed GraphLab: A Framework for Machine Learning in the Cloud Yucheng Low Joseph E. Gonzalez Aapo Kyrola Danny Bickson Carlos Guestrin J. M. Hellerstein GNN FedML 101 1,068 0 26 Apr 2012
A Tutorial on Bayesian Nonparametric Models S. Gershman David M. Blei 111 594 0 14 Jun 2011
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression Zhaosong Lu R. Monteiro M. Yuan 137 63 0 04 Apr 2009