distributed computing

See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 A Multi-Batch L-BFGS Method for Machine Learning NeurIPS 2016 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 Gemini: A Computation-Centric Distributed Graph Processing System OSDI 2016 K-Means Clustering with Distributed Dimensions ICML 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016 TensorFlow: A System for Large-Scale Machine Learning OSDI 2016 The Statistical Performance of Collaborative Inference JMLR 2016 Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction AISTATS 2016 Distributed Gaussian Processes ICML 2015 Distributed Matrix Completion and Robust Factorization JMLR 2015 Fast Distributed k-Center Clustering with Outliers on Massive Data NeurIPS 2015 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NeurIPS 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 Distributed Low-Rank Subspace Segmentation ICCV 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013