Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization

16 October 2021

Papers citing "Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization"

6 / 6 papers shown

Title
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 119 305 0 28 Jun 2021
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Z. Yao A. Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney ODL 64 280 0 01 Jun 2020
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan BDL UQCV 47 59 0 11 Nov 2018
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 95 1,817 0 01 Jul 2014
A Stochastic Quasi-Newton Method for Large-Scale Optimization R. Byrd Samantha Hansen J. Nocedal Y. Singer ODL 68 470 0 27 Jan 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines Cho-Jui Hsieh Si Si Inderjit S. Dhillon 47 169 0 04 Nov 2013