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Distributed Learning

1,135 papers

Papers per year

6
20
109
93
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Papers

Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013
Deep learning with COTS HPC systems ICML 2013
GURLS: A Least Squares Library for Supervised Learning JMLR 2013
Communication-Efficient Algorithms for Statistical Optimization JMLR 2013
Distributed Non-Stochastic Experts NIPS 2012
Large Scale Distributed Deep Networks NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Entangled Monte Carlo NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
Distributed Learning, Communication Complexity and Privacy COLT 2012
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Parallelized Stochastic Gradient Descent NIPS 2010
Distributed Dual Averaging In Networks NIPS 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Consensus-Based Distributed Support Vector Machines JMLR 2010
Preliminary Results in Decentralized Estimation for Single-Beacon Acoustic Underwater Navigation RSS 2010
Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning RSS 2010
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Slow Learners are Fast NIPS 2009