Distributed Learning

Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Communication-Efficient Algorithms for Statistical Optimization JMLR 2013 Deep learning with COTS HPC systems ICML 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013 Distributed Exploration in Multi-Armed Bandits NeurIPS 2013 Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Distributed training of Large-scale Logistic models ICML 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 Estimation, Optimization, and Parallelism when Data is Sparse NeurIPS 2013 Gossip-based distributed stochastic bandit algorithms ICML 2013 GURLS: A Least Squares Library for Supervised Learning JMLR 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NeurIPS 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Streaming Variational Bayes NeurIPS 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012 Distributed Learning, Communication Complexity and Privacy COLT 2012 Distributed Non-Stochastic Experts NeurIPS 2012