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Found 3 papers, 0 papers with code
Scalable Adaptive Stochastic Optimization Using Random Projections
We show that the regret of Ada-LR is close to the regret of full-matrix AdaGrad which can have an up-to exponentially smaller dependence on the dimension than the diagonal variant.
LOCO: Distributing Ridge Regression with Random Projections
We propose LOCO, an algorithm for large-scale ridge regression which distributes the features across workers on a cluster.
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Subsampling methods have been recently proposed to speed up least squares estimation in large scale settings.
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