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

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms ICML 2016
Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016
Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization AISTATS 2016
Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016
MLlib: Machine Learning in Apache Spark JMLR 2016
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems JMLR 2016
Robot Motion Planning on a Chip RSS 2016
Evolving GPU Machine Code JMLR 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Distributed Inference for Dirichlet Process Mixture Models ICML 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Asynchronous Distributed ADMM for Consensus Optimization ICML 2014
Large-scale L-BFGS using MapReduce NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Multi-Scale Spectral Decomposition of Massive Graphs NIPS 2014
Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013