Robert Mansel Gower
Robert Mansel Gower
Assistant professor in Machine Learning, at Telecom-Paristech
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Randomized iterative methods for linear systems
RM Gower, P Richtárik
SIAM Journal on Matrix Analysis and Applications 36 (4), 1660-1690, 2015
Stochastic block BFGS: Squeezing more curvature out of data
R Gower, D Goldfarb, P Richtárik
International Conference on Machine Learning, 1869-1878, 2016
Stochastic dual ascent for solving linear systems
RM Gower, P Richtárik
arXiv preprint arXiv:1512.06890, 2015
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
A new framework for the computation of Hessians
RM Gower, MP Mello
Optimization Methods and Software 27 (2), 251-273, 2012
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
RM Gower, NL Roux, F Bach
arXiv preprint arXiv:1710.07462, 2017
Stochastic quasi-gradient methods: Variance reduction via Jacobian sketching
RM Gower, P Richtárik, F Bach
arXiv preprint arXiv:1805.02632, 2018
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, 1619-1629, 2018
Action constrained quasi-Newton methods
RM Gower, J Gondzio
arXiv preprint arXiv:1412.8045, 2014
Higher-order Reverse Automatic Differentiation with emphasis on the third-order.
R Gower, AL Gower
Linearly convergent randomized iterative methods for computing the pseudoinverse
RM Gower, P Richtárik
arXiv preprint arXiv:1612.06255, 2016
Sketch and project: randomized iterative methods for linear systems and inverting matrices
RM Gower
arXiv preprint arXiv:1612.06013, 2016
Hessian matrices via automatic differentiation
RM Gower, MP Mello
Universidade Estadual de Campinas, Instituto de Matemática, Estatística e …, 2010
Computing the sparsity pattern of Hessians using automatic differentiation
RM Gower, MP Mello
ACM Transactions on Mathematical Software (TOMS) 40 (2), 10, 2014
Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration
AL Gower, RM Gower, J Deakin, WJ Parnell, ID Abrahams
EPL (Europhysics Letters) 122 (5), 54001, 2018
Greedy stochastic algorithms for entropy-regularized optimal transport problems
BK Abid, RM Gower
arXiv preprint arXiv:1803.01347, 2018
Improving SAGA via a probabilistic interpolation with gradient descent
A Bibi, A Sailanbayev, B Ghanem, RM Gower, P Richtárik
arXiv preprint arXiv:1806.05633, 2018
Conjugate Gradients: The short and painful explanation with oblique projections
RM Gower
tech. report, University of Edinburgh, Maxwell Institute for Mathematical …, 2014
Optimal mini-batch and step sizes for SAGA
N Gazagnadou, RM Gower, J Salmon
arXiv preprint arXiv:1902.00071, 2019
SGD: General Analysis and Improved Rates
RM Gower, N Loizou, X Qian, A Sailanbayev, E Shulgin, P Richtarik
arXiv preprint arXiv:1901.09401, 2019
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