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Books and Theses
- 2020
[b1]Dmitry Grishchenko:
Proximal optimization with automatic dimension reduction for large-scale learning. (Optimisation proximale avec réduction automatique de dimension). Grenoble Alpes University, France, 2020
Journal Articles
- 2021
- [j4]Dmitry Grishchenko, Franck Iutzeler
, Jérôme Malick:
Proximal Gradient Methods with Adaptive Subspace Sampling. Math. Oper. Res. 46(4): 1303-1323 (2021) - [j3]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. 3(2): 715-735 (2021) - 2020
- [j2]Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Randomized Progressive Hedging methods for multi-stage stochastic programming. Ann. Oper. Res. 295(2): 535-560 (2020) - [j1]Sergey Galushin, Dmitry Grishchenko, Pavel Kudinov:
Implementation of framework for assessment of severe accident management effectiveness in Nordic BWR. Reliab. Eng. Syst. Saf. 203: 107049 (2020)
Conference and Workshop Papers
- 2021
- [c2]Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander V. Gasnikov, Vladislav Matyukhin:
Adaptive Catalyst for Smooth Convex Optimization. OPTIMA 2021: 20-37 - 2020
- [c1]Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini:
Sparse Asynchronous Distributed Learning. ICONIP (5) 2020: 429-438
Informal and Other Publications
- 2020
- [i3]Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. CoRR abs/2009.12186 (2020) - 2019
- [i2]Filip Hanzely, Jakub Konecný, Nicolas Loizou, Peter Richtárik, Dmitry Grishchenko:
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion. CoRR abs/1901.09367 (2019) - 2018
- [i1]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR abs/1812.03871 (2018)
Coauthor Index
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