Coresets for Data-efficient Training of Machine Learning Models

Baharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec

Type: Preprint

Publication Date: 2019-06-05

Citations: 2

Locations

arXiv (Cornell University) - View

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+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy
+ PDF Chat	Why random reshuffling beats stochastic gradient descent	2019	Mert Gürbüzbalaban Asuman Ozdaglar Pablo A. Parrilo
+ PDF Chat	On a Stochastic Approximation Method	1954	Kai Lai Chung
+	Robust Stochastic Approximation Approach to Stochastic Programming	2009	Arkadi Nemirovski Anatoli Juditsky Guanghui Lan Alexander Shapiro
+ PDF Chat	A Proximal Stochastic Gradient Method with Progressive Variance Reduction	2014	Lin Xiao Tong Zhang
+ PDF Chat	Serial and parallel backpropagation convergence via nonmonotone perturbed minimization	1994	O. L. Mangasarian M. V. Solodov
+	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets	2012	Nicolas Le Roux Mark Schmidt Francis Bach
+ PDF Chat	Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey	2011	Dimitri P. Bertsekas