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Robert Mansel Gower
Robert Mansel Gower
Research Scientist @ Flatiron Institute (on leave Assistant Professor @ Télécom Paris)
Verified email at flatironinstitute.org - Homepage
Title
Cited by
Cited by
Year
Randomized iterative methods for linear systems
RM Gower, P Richtárik
SIAM Journal on Matrix Analysis and Applications 36 (4), 1660-1690, 2015
2232015
SGD: General analysis and improved rates
RM Gower, N Loizou, X Qian, A Sailanbayev, E Shulgin, P Richtárik
Proceedings of the 36 the International Conference on Machine Learning, 2019
1892019
Stochastic block BFGS: Squeezing more curvature out of data
R Gower, D Goldfarb, P Richtárik
International Conference on Machine Learning, 1869-1878, 2016
1422016
Randomized quasi-Newton updates are linearly convergent matrix inversion algorithms
RM Gower, P Richtárik
SIAM Journal on Matrix Analysis and Applications 38 (4), 1380-1409, 2017
732017
Stochastic quasi-gradient methods: Variance reduction via Jacobian sketching
RM Gower, P Richtárik, F Bach
Mathematical Programming, 2020
722020
Stochastic dual ascent for solving linear systems
RM Gower, P Richtárik
arXiv preprint arXiv:1512.06890, 2015
642015
Accelerated stochastic matrix inversion: general theory and speeding up BFGS rules for faster second-order optimization
R Gower, F Hanzely, P Richtárik, SU Stich
Advances in Neural Information Processing Systems 31, 2018
382018
Variance-reduced methods for machine learning
RM Gower, M Schmidt, F Bach, P Richtárik
Proceedings of the IEEE 108 (11), 1968-1983, 2020
342020
Rsn: Randomized subspace newton
R Gower, D Kovalev, F Lieder, P Richtárik
Advances in Neural Information Processing Systems 32, 2019
342019
Optimal mini-batch and step sizes for SAGA
N Gazagnadou, R Gower, J Salmon
International conference on machine learning, 2142-2150, 2019
292019
Sgd for structured nonconvex functions: Learning rates, minibatching and interpolation
R Gower, O Sebbouh, N Loizou
International Conference on Artificial Intelligence and Statistics, 1315-1323, 2021
272021
Stochastic algorithms for entropy-regularized optimal transport problems
BK Abid, R Gower
International Conference on Artificial Intelligence and Statistics, 1505-1512, 2018
242018
Linearly convergent randomized iterative methods for computing the pseudoinverse
RM Gower, P Richtárik
arXiv preprint arXiv:1612.06255, 2016
222016
A new framework for the computation of Hessians
RM Gower, MP Mello
Optimization Methods and Software 27 (2), 251-273, 2012
222012
Tracking the gradients using the hessian: A new look at variance reducing stochastic methods
R Gower, N Le Roux, F Bach
International Conference on Artificial Intelligence and Statistics, 707-715, 2018
212018
Unified analysis of stochastic gradient methods for composite convex and smooth optimization
A Khaled, O Sebbouh, N Loizou, RM Gower, P Richtárik
arXiv preprint arXiv:2006.11573, 2020
182020
On adaptive sketch-and-project for solving linear systems
RM Gower, D Molitor, J Moorman, D Needell
SIAM Journal on Matrix Analysis and Applications 42 (2), 954-989, 2021
122021
Adaptive sketch-and-project methods for solving linear systems
R Gower, D Molitor, J Moorman, D Needell
arXiv preprint arXiv:1909.03604, 2019
122019
Action constrained quasi-Newton methods
RM Gower, J Gondzio
arXiv preprint arXiv:1412.8045, 2014
122014
Almost sure convergence rates for stochastic gradient descent and stochastic heavy ball
O Sebbouh, RM Gower, A Defazio
Conference on Learning Theory, 3935-3971, 2021
112021
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