Nicolas Loizou
Nicolas Loizou
Mila - Quebec Artificial Intelligence Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
SGD: General Analysis and Improved Rates
RM Gower, N Loizou, X Qian, A Sailanbayev, E Shulgin, P Richtarik
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019
582019
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods
N Loizou, P Richtárik
arXiv preprint arXiv:1712.09677, 2017
582017
Stochastic gradient push for distributed deep learning
M Assran, N Loizou, N Ballas, M Rabbat
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2018
502018
Linearly convergent stochastic heavy ball method for minimizing generalization error
N Loizou, P Richtárik
NIPS 2017- Workshop on Optimization for Machine Learning , arXiv preprint …, 2017
222017
A new perspective on randomized gossip algorithms
N Loizou, P Richtárik
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
222016
Privacy preserving randomized gossip algorithms
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1706.07636, 2017
142017
Accelerated Gossip via Stochastic Heavy Ball Method
N Loizou, P Richtárik
56th Annual Allerton Conference on Communication, Control, and Computing, 2018, 2018
132018
A unified theory of decentralized sgd with changing topology and local updates
A Koloskova, N Loizou, S Boreiri, M Jaggi, SU Stich
ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020
82020
Convergence analysis of inexact randomized iterative methods
N Loizou, P Richtárik
arXiv preprint arXiv:1903.07971, 2019
72019
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
N Loizou, P Richtárik
arXiv preprint arXiv:1905.08645, 2019
62019
Provably accelerated randomized gossip algorithms
N Loizou, M Rabbat, P Richtárik
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Distributionally Robust Games with Risk-averse Players
N Loizou
Proceedings of 5th the International Conference on Operations Research and …, 2016
42016
Distributionally robust game theory
N Loizou
arXiv preprint arXiv:1512.03253, 2015
42015
Stochastic polyak step-size for SGD: An adaptive learning rate for fast convergence
N Loizou, S Vaswani, I Laradji, S Lacoste-Julien
arXiv preprint arXiv:2002.10542, 2020
22020
Randomized iterative methods for linear systems: momentum, inexactness and gossip
N Loizou
arXiv preprint arXiv:1909.12176, 2019
22019
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
NeurIPS 2018 - Privacy Preserving Machine Learning Workshop, arXiv preprint …, 2019
22019
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
2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
RM Gower, O Sebbouh, N Loizou
arXiv preprint arXiv:2006.10311, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–18