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Dmitry Grishchenko
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Adaptive catalyst for smooth convex optimization
A Ivanova, D Pasechnyuk, D Grishchenko, E Shulgin, A Gasnikov, ...
International Conference on Optimization and Applications, 20-37, 2021
372021
Randomized progressive hedging methods for multi-stage stochastic programming
G Bareilles, Y Laguel, D Grishchenko, F Iutzeler, J Malick
Annals of Operations Research 295 (2), 535-560, 2020
242020
Asynchronous distributed learning with sparse communications and identification
D Grishchenko, F Iutzeler, J Malick, MR Amini
arXiv preprint arXiv:1812.03871, 2018
212018
Privacy preserving randomized gossip algorithms
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1706.07636, 2017
212017
Proximal gradient methods with adaptive subspace sampling
D Grishchenko, F Iutzeler, J Malick
Mathematics of Operations Research 46 (4), 1303-1323, 2021
142021
A privacy preserving randomized gossip algorithm via controlled noise insertion
F Hanzely, J Konečný, N Loizou, P Richtárik, D Grishchenko
arXiv preprint arXiv:1901.09367, 2019
92019
Distributed learning with sparse communications by identification
D Grishchenko, F Iutzeler, J Malick, MR Amini
SIAM Journal on Mathematics of Data Science 3 (2), 715-735, 2021
72021
Оригами, или что можно получить с помощью складывания листа бумаги
ДИ Грищенко
Математическое просвещение 17 (0), 68-87, 2013
42013
Proximal optimization with automatic dimension reduction for large-scale learning
D Grishchenko
Université Grenoble Alpes [2020-....], 2020
2020
Sparse Asynchronous Distributed Learning
D Grischenko, F Iutzeler, MR Amini
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
2020
Пример задачи композитной сильно выпуклой оптимизации, когда выгодно работать не с евклидовой прокс-структурой
AV Gasnikov, DI Grishchenko, MA Mendel
Distributed First-Order Optimization with Tamed Communications
D Grishchenko, F Iutzeler, J Malick
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Articles 1–12