Nicolas Loizou
Nicolas Loizou
Mila - Quebec Artificial Intelligence Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
1322018
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
1292019
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods
N Loizou, P Richtárik
Computational Optimization and Applications, 77 (3), 653-710, 2020
1092020
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
772020
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
352017
Stochastic Polyak step-size for SGD: An adaptive learning rate for fast convergence
N Loizou, S Vaswani, I Laradji, S Lacoste-Julien
AISTATS 2021 - International Conference on Artificial Intelligence and …, 2021
282021
A new perspective on randomized gossip algorithms
N Loizou, P Richtárik
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
272016
Accelerated Gossip via Stochastic Heavy Ball Method
N Loizou, P Richtárik
56th Annual Allerton Conference on Communication, Control, and Computing, 2018, 2018
242018
Privacy preserving randomized gossip algorithms
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1706.07636, 2017
182017
Provably accelerated randomized gossip algorithms
N Loizou, M Rabbat, P Richtárik
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2018
132018
SGD for structured nonconvex functions: Learning rates, minibatching and interpolation
RM Gower, O Sebbouh, N Loizou
AISTATS 2021 - International Conference on Artificial Intelligence and …, 2021
122021
Stochastic Hamiltonian Gradient Methods for Smooth Games
N Loizou, H Berard, A Jolicoeur-Martineau, P Vincent, S Lacoste-Julien, ...
ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020
122020
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
N Loizou, P Richtárik
arXiv preprint arXiv:1905.08645, 2019
122019
Convergence analysis of inexact randomized iterative methods
N Loizou, P Richtárik
SIAM Journal on Scientific Computing 42 (6), A3979-A4016, 2020
112020
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
72020
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
72019
Distributionally robust game theory
N Loizou
arXiv preprint arXiv:1512.03253, 2015
62015
Distributionally Robust Games with Risk-averse Players
N Loizou
Proceedings of 5th the International Conference on Operations Research and …, 2016
42016
Randomized iterative methods for linear systems: momentum, inexactness and gossip
N Loizou
arXiv preprint arXiv:1909.12176, 2019
32019
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
N Loizou, H Berard, G Gidel, I Mitliagkas, S Lacoste-Julien
arXiv preprint arXiv:2107.00052, 2021
2021
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