distributed learning

WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 Active Learning and Best-Response Dynamics NeurIPS 2014 A Reliable Effective Terascale Linear Learning System JMLR 2014 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 Scalable and Robust Bayesian Inference via the Median Posterior ICML 2014 Distributed Exploration in Multi-Armed Bandits NeurIPS 2013 Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013 Divide and Conquer Kernel Ridge Regression COLT 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 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 Distributed Learning, Communication Complexity and Privacy COLT 2012 Distributed Non-Stochastic Experts NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012