Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches

6 June 2022

Papers citing "Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches"

6 / 6 papers shown

Title
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning Jingruo Sun Zachary Frangella Madeleine Udell 31 0 0 28 Jan 2025
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning Michał Dereziński Michael W. Mahoney 20 5 0 17 Jun 2024
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients Sachin Garg A. Berahas Michal Dereziñski 27 1 0 23 Apr 2024
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems Younghyun Cho James Demmel Michal Derezinski Haoyun Li Hengrui Luo Michael W. Mahoney Riley Murray 27 5 0 30 Aug 2023
Sharpened Lazy Incremental Quasi-Newton Method Aakash Lahoti Spandan Senapati K. Rajawat Alec Koppel 8 2 0 26 May 2023
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update Michal Derezinski Jonathan Lacotte Mert Pilanci Michael W. Mahoney 32 26 0 15 Jul 2021