暂无分享,去创建一个
[1] Vladimir Pavlovic,et al. D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM , 2015, ArXiv.
[2] Francis R. Bach,et al. Online Learning for Latent Dirichlet Allocation , 2010, NIPS.
[3] Chunguang Li,et al. Distributed Variational Bayesian Algorithms Over Sensor Networks , 2016, IEEE Transactions on Signal Processing.
[4] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[5] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[6] Rui Zhang,et al. Secure and resilient distributed machine learning under adversarial environments , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[7] Matthew J. Johnson,et al. Stochastic Variational Inference for Bayesian Time Series Models , 2014, ICML.
[8] Jonathan P. How,et al. Streaming, Distributed Variational Inference for Bayesian Nonparametrics , 2015, NIPS.
[9] Inderjit S. Dhillon,et al. Extreme Stochastic Variational Inference: Distributed and Asynchronous , 2016 .
[10] David M. Blei,et al. Structured Stochastic Variational Inference , 2014, 1404.4114.
[11] Neil D. Lawrence,et al. Gaussian Processes for Big Data , 2013, UAI.
[12] Jason Xu,et al. Stochastic variational inference for hidden Markov models , 2014, NIPS.
[13] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[14] Carl E. Rasmussen,et al. Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models , 2014, NIPS.
[15] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[16] Georgios B. Giannakis,et al. Consensus-Based Distributed Support Vector Machines , 2010, J. Mach. Learn. Res..