parallel computing

Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Deep learning with COTS HPC systems ICML 2013 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NeurIPS 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012 Entangled Monte Carlo NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NeurIPS 2011 Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011 A Streaming Parallel Decision Tree Algorithm JMLR 2010 Parallelized Stochastic Gradient Descent NeurIPS 2010 Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 A Massively Parallel Digital Learning Processor NeurIPS 2008