Follow
Yury Maximov
Title
Cited by
Cited by
Year
Self-training: A survey
MR Amini, V Feofanov, L Pauletto, E Devijver, Y Maximov
arXiv preprint arXiv:2202.12040, 2022
782022
Importance sampling the union of rare events with an application to power systems analysis
AB Owen, Y Maximov, M Chertkov
532019
Searching equillibriums in Beckmann's and Nesterov--de Palma's models
A Gasnikov, P Dvurechensky, Y Dorn, Y Maximov
arXiv preprint arXiv:1506.00293, 2015
48*2015
Rademacher complexity bounds for a penalized multi-class semi-supervised algorithm
Y Maximov, MR Amini, Z Harchaoui
Journal of Artificial Intelligence Research 61, 761-786, 2018
432018
Efficient numerical algorithms for regularized regression problem with applications to traffic matrix estimations
A Anikin, P Dvurechensky, A Gasnikov, A Golov, A Gornov, Y Maximov, ...
arXiv preprint arXiv:1508.00858, 2015
41*2015
User preference and embedding learning with implicit feedback for recommender systems
S Sidana, M Trofimov, O Horodnytskyi, C Laclau, Y Maximov, MR Amini
Data Mining and Knowledge Discovery 35, 568-592, 2021
302021
Effective numerical methods for huge-scale linear systems with doublesparsity and applications to PageRank
AS Anikin, AV Gasnikov, AY Gornov, DI Kamzolov, V Maksimov Yu, ...
Proceedings of MIPT 7 (4), 74-94, 2015
22*2015
Representation learning and pairwise ranking for implicit feedback in recommendation systems
S Sidana, M Trofimov, O Horodnitskii, C Laclau, Y Maximov, MR Amini
arXiv preprint arXiv:1705.00105, 2017
20*2017
Tight risk bounds for multi-class margin classifiers
Y Maximov, D Reshetova
Pattern Recognition and Image Analysis 26, 673-680, 2016
192016
Efficient numerical methods to solve sparse linear equations with application to pagerank
A Anikin, A Gasnikov, A Gornov, D Kamzolov, Y Maximov, Y Nesterov
Optimization Methods and Software 37 (3), 907-935, 2022
172022
Aggressive sampling for multi-class to binary reduction with applications to text classification
B Joshi, MR Amini, I Partalas, F Iutzeler, Y Maximov
Advances in Neural Information Processing Systems 30, 2017
172017
Power grid reliability estimation via adaptive importance sampling
A Lukashevich, Y Maximov
IEEE Control Systems Letters 6, 1010-1015, 2021
132021
Implementation of Boolean functions with a bounded number of zeros by disjunctive normal forms
YV Maximov
Computational Mathematics and Mathematical Physics 53, 1391-1409, 2013
13*2013
Entropy penalized semidefinite programming
M Krechetov, J Marecek, Y Maximov, M Takac
arXiv preprint arXiv:1802.04332, 2018
122018
Comparative analysis of the complexity of Boolean functions with a small number of zeros
YV Maximov
Doklady Mathematics 86, 854-856, 2012
12*2012
Importance sampling approach to chance-constrained dc optimal power flow
A Lukashevich, V Gorchakov, P Vorobev, D Deka, Y Maximov
IEEE Transactions on Control of Network Systems, 2023
112023
Simple disjunctive normal forms of Boolean functions with a restricted number of zeros
YV Maximov
Doklady Mathematics 86, 480-482, 2012
11*2012
Learning model of generator from terminal data
N Stulov, DJ Sobajic, Y Maximov, D Deka, M Chertkov
Electric Power Systems Research 189, 106742, 2020
92020
Поиск эффективных методов снижения размерности при решении задач многоклассовой классификации путем её сведения к решению бинарных задач
МЕ Карасиков, ЮВ Максимов
Машинное обучение и анализ данных 1 (9), 1273-1290, 2014
92014
A bayesian framework for power system components identification
A Mikhalev, A Emchinov, S Chevalier, Y Maximov, P Vorobev
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
72020
The system can't perform the operation now. Try again later.
Articles 1–20