Nicolas Loizou
タイトル引用先
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods
N Loizou, P Richtárik
arXiv preprint arXiv:1712.09677, 2017
262017
A new perspective on randomized gossip algorithms
N Loizou, P Richtárik
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
142016
Linearly convergent stochastic heavy ball method for minimizing generalization error
N Loizou, P Richtárik
NIPS-Workshop on Optimization for Machine Learning [arXiv preprint arXiv …, 2017
122017
Privacy preserving randomized gossip algorithms
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1706.07636, 2017
82017
Accelerated Gossip via Stochastic Heavy Ball Method
N Loizou, P Richtárik
56th Annual Allerton Conference on Communication, Control, and Computing, 2018, 2018
62018
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
32018
Distributionally robust game theory
N Loizou
arXiv preprint arXiv:1512.03253, 2015
32015
Provably accelerated randomized gossip algorithms
N Loizou, M Rabbat, P Richtárik
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
NeurIPS Privacy Preserving Machine Learning Workshop, 2018 [arXiv preprint …, 2019
12019
Distributionally Robust Games with Risk-averse Players
N Loizou
Proceedings of 5th the International Conference on Operations Research and …, 2016
12016
Convergence Analysis of Inexact Randomized Iterative Methods
N Loizou, P Richtárik
arXiv preprint arXiv:1903.07971, 2019
2019
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
2019
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