Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds

13 December 2020

Papers citing "Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds"

5 / 5 papers shown

Title
Deep Sketched Output Kernel Regression for Structured Prediction T. Ahmad Junjie Yang Pierre Laforgue Florence dÁlché-Buc UQCV 50 0 0 13 Jun 2024
Fast Kernel Methods for Generic Lipschitz Losses via $p$ -Sparsified Sketches T. Ahmad Pierre Laforgue Florence dÁlché-Buc 19 5 0 08 Jun 2022
Distributed Sketching Methods for Privacy Preserving Regression Burak Bartan Mert Pilanci 29 11 0 16 Feb 2020
Reverse iterative volume sampling for linear regression Michal Derezinski Manfred K. Warmuth 51 43 0 06 Jun 2018
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 88 281 0 09 Aug 2012