conftrace_

parallel computing

146 papers

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Co-occurring keywords

stochastic gradient descent (1091) parallel algorithm (79) distributed learning (563) markov chain monte carlo (725) gpu computing (46) bayesian inference (1907) neural network (6616) parallel computation (38) distributed training (188) support vector machine (978)

Papers

Deep learning with COTS HPC systems ICML 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
Entangled Monte Carlo NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Parallelized Stochastic Gradient Descent NIPS 2010
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009
A Massively Parallel Digital Learning Processor NIPS 2008
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Map-Reduce for Machine Learning on Multicore NIPS 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006