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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Computational Limits of A Distributed Algorithm for Smoothing Spline JMLR 2017
Distributed Learning with Regularized Least Squares JMLR 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017
Communication-efficient Sparse Regression JMLR 2017
Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017
SCL: Simplifying Distributed SDN Control Planes NSDI 2017
See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017
Accumulated Gradient Normalization ACML 2017
I Can’t Believe It’s Not Causal! Scalable Causal Consistency with No Slowdown Cascades NSDI 2017
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NIPS 2016
Feature-distributed sparse regression: a screen-and-clean approach NIPS 2016
TextImager: a Distributed UIMA-based System for NLP COLING 2016
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016
The Statistical Performance of Collaborative Inference JMLR 2016
Communication Efficient Distributed Agnostic Boosting AISTATS 2016
d-VMP: Distributed Variational Message Passing PGM 2016
Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016
An End-To-End System for Accomplishing Tasks with Modular Robots RSS 2016
Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections AISTATS 2016
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System AISTATS 2016
K-Means Clustering with Distributed Dimensions ICML 2016
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016