Articles with public access mandates - Pavel DvurechenskyLearn more
Available somewhere: 14
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechenskii, D Dvinskikh, A Gasnikov, C Uribe, A Nedich
Advances in Neural Information Processing Systems 31, 2018
Mandates: US National Science Foundation
Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
Conference on Learning Theory, 1392-1393, 2019
Mandates: US National Science Foundation, National Natural Science Foundation of China
Distributed computation of Wasserstein barycenters over networks
CA Uribe, D Dvinskikh, P Dvurechensky, A Gasnikov, A Nedić
2018 IEEE Conference on Decision and Control (CDC), 6544-6549, 2018
Mandates: US National Science Foundation
Decentralized local stochastic extra-gradient for variational inequalities
A Beznosikov, P Dvurechenskii, A Koloskova, V Samokhin, SU Stich, ...
Advances in Neural Information Processing Systems 35, 38116-38133, 2022
Mandates: German Research Foundation
First-order methods for convex optimization
P Dvurechensky, S Shtern, M Staudigl
EURO Journal on Computational Optimization 9, 100015, 2021
Mandates: European Commission
Self-concordant analysis of Frank-Wolfe algorithms
P Dvurechensky, P Ostroukhov, K Safin, S Shtern, M Staudigl
International Conference on Machine Learning, 2814-2824, 2020
Mandates: European Commission
Clipped stochastic methods for variational inequalities with heavy-tailed noise
E Gorbunov, M Danilova, D Dobre, P Dvurechenskii, A Gasnikov, G Gidel
Advances in Neural Information Processing Systems 35, 31319-31332, 2022
Mandates: German Research Foundation
Multimarginal optimal transport by accelerated alternating minimization
N Tupitsa, P Dvurechensky, A Gasnikov, CA Uribe
2020 59th ieee conference on decision and control (cdc), 6132-6137, 2020
Mandates: German Research Foundation
Newton method over networks is fast up to the statistical precision
A Daneshmand, G Scutari, P Dvurechensky, A Gasnikov
International Conference on Machine Learning, 2398-2409, 2021
Mandates: US National Science Foundation, US Department of Defense
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization
P Dvurechensky, D Kamzolov, A Lukashevich, S Lee, E Ordentlich, ...
EURO Journal on Computational Optimization 10, 100045, 2022
Mandates: US National Science Foundation, German Research Foundation
An accelerated second-order method for distributed stochastic optimization
A Agafonov, P Dvurechensky, G Scutari, A Gasnikov, D Kamzolov, ...
2021 60th IEEE Conference on Decision and Control (CDC), 2407-2413, 2021
Mandates: US National Science Foundation, US Department of Defense
Generalized self-concordant analysis of Frank–Wolfe algorithms
P Dvurechensky, K Safin, S Shtern, M Staudigl
Mathematical Programming 198 (1), 255-323, 2023
Mandates: European Commission
Hessian barrier algorithms for non-convex conic optimization
P Dvurechensky, M Staudigl
Mathematical Programming, 1-59, 2024
Mandates: German Research Foundation, European Commission
Near-optimal tensor methods for minimizing gradient norm
P Dvurechensky, A Gasnikov, P Ostroukhov, AC Uribe, A Ivanova
Berlin: Weierstraß-Institut für Angewandte Analysis und Stochastik, 2020
Mandates: German Research Foundation
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