Dmitry Kovalev
Orcid: 0000-0003-1467-2994
According to our database1,
Dmitry Kovalev
authored at least 49 papers
between 2013 and 2024.
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Bibliography
2024
Decentralized convex optimization on time-varying networks with application to Wasserstein barycenters.
Comput. Manag. Sci., June, 2024
Decentralized saddle-point problems with different constants of strong convexity and strong concavity.
Comput. Manag. Sci., June, 2024
2023
Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs.
Comput. Manag. Sci., December, 2023
Stochastic distributed learning with gradient quantization and double-variance reduction.
Optim. Methods Softw., January, 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
Proceedings of the International Conference on Machine Learning, 2023
2022
EURO J. Comput. Optim., 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems - Survey.
CoRR, 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox.
CoRR, 2022
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity.
CoRR, 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Comparison of Data-Driven Approaches to Modeling Complex Behavior of 2D Liquid Simulator.
Proceedings of the Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains, 2021
Proceedings of the Optimization and Applications - 12th International Conference, 2021
Near-Optimal Decentralized Algorithms for Saddle Point Problems over Time-Varying Networks.
Proceedings of the Optimization and Applications - 12th International Conference, 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Методы и средства анализа сигналов головного мозга человека на данных функциональной магнитно-резонансной томографии (Methods and Tools for the Human Brain Signals Analysis over the Functional Magnetic Resonance Imaging Data).
Proceedings of the Supplementary Proceedings of the XXII International Conference on Data Analytics and Management in Data Intensive Domains, 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Way for Intensifying the Process of Anaerobic Bioconversion by Preliminary Hydrolysis and Increasing Solid Retention Time.
ICO, 2020
Intellectualized Control System of Technological Processes of an Experimental Biogas Plant with Improved System for Preliminary Preparation of Initial Waste.
ICO, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop.
Proceedings of the Algorithmic Learning Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
System of Optimization of the Combustion Process of Biogas for the Biogas Plant Heat Supply.
ICO, 2019
ICO, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Оценка качества научных гипотез в виртуальных экспериментах в областях с интенсивным использованием данных (Estimation of Scientific Hypotheses Quality in Virtual Experiments in Data Intensive Domains).
Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017
Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017
2013
Декларативная аналитика в мультидиалектной среде (Declarative Analytics in Multidialect Infrastructure).
Proceedings of the Selected Papers of the 15th All-Russian Scientific Conference "Digital libraries: Advanced Methods and Technologies, 2013