Recovering the Optimal Solution by Dual Random Projection

13 November 2012

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

10 / 10 papers shown

Title
Exact Non-Oblivious Performance of Rademacher Random Embeddings Maciej Skorski Alessandro Temperoni 16 0 0 21 Mar 2023
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds Jonathan Lacotte Mert Pilanci 20 11 0 13 Dec 2020
Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu Yan Sun CML 25 48 0 06 Oct 2019
High-Dimensional Optimization in Adaptive Random Subspaces Jonathan Lacotte Mert Pilanci Marco Pavone 27 16 0 27 Jun 2019
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data Jialei Wang J. Lee M. Mahdavi Mladen Kolar Nathan Srebro 21 50 0 10 Oct 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections C. Heinze Brian McWilliams N. Meinshausen 31 37 0 08 Jun 2015
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization M. Mahdavi 60 4 0 19 Jul 2014
Scalable Similarity Learning using Large Margin Neighborhood Embedding Zhaowen Wang Jianchao Yang Zhe-nan Lin Jonathan Brandt Shiyu Chang Thomas Huang 33 2 0 24 Apr 2014
MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization M. Mahdavi R. L. Jin 61 17 0 26 Jul 2013
A short note on the tail bound of Wishart distribution Shenghuo Zhu 83 17 0 24 Dec 2012