Distributed Learning

Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration OSDI 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016 Gemini: A Computation-Centric Distributed Graph Processing System OSDI 2016 Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016 Horizontally Scalable Submodular Maximization ICML 2016 JetStream: Cluster-Scale Parallelization of Information Flow Queries OSDI 2016 K-Means Clustering with Distributed Dimensions ICML 2016 Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016 NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NeurIPS 2016 Network Requirements for Resource Disaggregation OSDI 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System AISTATS 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms ICML 2016 Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016 Stochastic Gradient MCMC with Stale Gradients NeurIPS 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 TensorFlow: A System for Large-Scale Machine Learning OSDI 2016 TextImager: a Distributed UIMA-based System for NLP COLING 2016 The Statistical Performance of Collaborative Inference JMLR 2016 Virtual Machines and Containers as a Platform for Experimentation Interspeech 2016 Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NeurIPS 2016 Adding vs. Averaging in Distributed Primal-Dual Optimization ICML 2015