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Nicolas Loizou
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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
2062019
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
1962018
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
1652020
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
1392020
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
592021
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
372017
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
282021
A new perspective on randomized gossip algorithms
N Loizou, P Richtárik
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
282016
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
262020
Accelerated Gossip via Stochastic Heavy Ball Method
N Loizou, P Richtárik
56th Annual Allerton Conference on Communication, Control, and Computing, 2018, 2018
252018
Provably accelerated randomized gossip algorithms
N Loizou, M Rabbat, P Richtárik
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2018
202018
Privacy preserving randomized gossip algorithms
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1706.07636, 2017
202017
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
N Loizou, P Richtárik
IEEE Transactions on Information Theory 67 (12), 8300 - 8324, 2021
172021
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
172020
Convergence analysis of inexact randomized iterative methods
N Loizou, P Richtárik
SIAM Journal on Scientific Computing 42 (6), A3979-A4016, 2020
162020
Extragradient method: O (1/K) last-iterate convergence for monotone variational inequalities and connections with cocoercivity
E Gorbunov, N Loizou, G Gidel
AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022
132022
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
92019
Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic Polyak stepsize
R D'Orazio, N Loizou, I Laradji, I Mitliagkas
arXiv preprint arXiv:2110.15412, 2021
72021
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
NeurIPS 2021 - Advances in Neural Information Processing Systems, 2021
62021
Distributionally robust game theory
N Loizou
arXiv preprint arXiv:1512.03253, 2015
62015
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