Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data

10 October 2016

Papers citing "Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data"

9 / 9 papers shown

Title
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 27 52 0 19 Feb 2021
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
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence Yuetian Luo Wen Huang Xudong Li Anru R. Zhang 23 15 0 17 Nov 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms Ping Ma Xinlian Zhang Xin Xing Jingyi Ma Michael W. Mahoney 10 55 0 24 Feb 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 25 44 0 09 Nov 2019
Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu Yan Sun CML 25 48 0 06 Oct 2019
An Econometric Perspective on Algorithmic Subsampling Serena Ng S. Lee 15 13 0 03 Jul 2019
Robust Coreset Construction for Distributed Machine Learning Hanlin Lu Ming-Ju Li T. He Shiqiang Wang Vijay Narayanan Kevin S. Chan OOD 13 25 0 11 Apr 2019
Randomized Iterative Algorithms for Fisher Discriminant Analysis Agniva Chowdhury Jiasen Yang P. Drineas 22 8 0 09 Sep 2018