Recovering the Optimal Solution by Dual Random Projection

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Recovering the Optimal Solution by Dual Random Projection

13 November 2012

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Papers citing "Recovering the Optimal Solution by Dual Random Projection"

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Title
Bayesian Data Sketching for Varying Coefficient Regression Models Rajarshi Guhaniyogi Laura Baracaldo Sudipto Banerjee 28 5 0 30 May 2025
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds Jonathan Lacotte Mert Pilanci 107 12 0 13 Dec 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM Zijian Lei Liang Lan 41 8 0 05 Feb 2020
Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu Yan Sun CML 115 48 0 06 Oct 2019
Distance Geometry and Data Science Leo Liberti 47 32 0 18 Sep 2019
High-Dimensional Optimization in Adaptive Random Subspaces Jonathan Lacotte Mert Pilanci Marco Pavone 63 16 0 27 Jun 2019
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning Di Wang Jinhui Xu 31 5 0 09 Feb 2018
Random Projections For Large-Scale Regression Farman Ali C. Heinze K. H. Kim 245 45 0 19 Jan 2017
Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach Lijun Zhang Tianbao Yang Rong Jin Zhi Zhou 32 5 0 12 Nov 2015
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections C. Heinze Brian McWilliams N. Meinshausen 134 37 0 08 Jun 2015
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization M. Mahdavi 166 5 0 19 Jul 2014
Fine-Grained Visual Categorization via Multi-stage Metric Learning Qi Qian Rong Jin Shenghuo Zhu Yuanqing Lin 57 5 0 03 Feb 2014
MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization M. Mahdavi Rong Jin 125 17 0 26 Jul 2013
Random Projections for Linear Support Vector Machines Saurabh Paul Christos Boutsidis M. Magdon-Ismail P. Drineas 122 51 0 26 Nov 2012