Stochastic Gradient Made Stable: A Manifold Propagation Approach for
Large-Scale Optimization

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Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization

28 June 2015

Wei Liu

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Papers citing "Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization"

11 / 11 papers shown

Title
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling P. Zhao Tong Zhang 76 91 0 13 May 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 158 739 0 19 Mar 2014
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 98 346 0 13 Jan 2014
Communication Efficient Distributed Optimization using an Approximate Newton-type Method Ohad Shamir Nathan Srebro Tong Zhang 95 557 0 30 Dec 2013
Semi-Stochastic Gradient Descent Methods Jakub Konecný Peter Richtárik ODL 126 239 0 05 Dec 2013
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion Hyokun Yun Hsiang-Fu Yu Cho-Jui Hsieh S.V.N. Vishwanathan Inderjit Dhillon 82 124 0 01 Dec 2013
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 324 1,250 0 10 Sep 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang ODL 112 151 0 12 May 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 153 576 0 08 Dec 2012
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 120 315 0 22 Jun 2011
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 273 685 0 07 Dec 2010