Dmitry Kovalev

Orcid: 0000-0003-1467-2994

According to our database1, Dmitry Kovalev authored at least 50 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks.
CoRR, 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
Accelerated variance-reduced methods for saddle-point problems.
EURO J. Comput. Optim., 2022

An Optimal Algorithm for Strongly Convex Min-min Optimization.
CoRR, 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

On Scaled Methods for Saddle Point Problems.
CoRR, 2022

Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity.
CoRR, 2022

Similarity learning for wells based on logging data.
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

The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization.
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

Optimal Algorithms for Decentralized Stochastic Variational Inequalities.
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

IntSGD: Adaptive Floatless Compression of Stochastic Gradients.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
IntSGD: Floatless Compression of Stochastic Gradients.
CoRR, 2021

Decentralized Distributed Optimization for Saddle Point Problems.
CoRR, 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

Towards Accelerated Rates for Distributed Optimization over Time-Varying Networks.
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

ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks.
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
Fast Linear Convergence of Randomized BFGS.
CoRR, 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

Linearly Converging Error Compensated SGD.
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

From Local SGD to Local Fixed-Point Methods for Federated Learning.
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

Revisiting Stochastic Extragradient.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Distributed Fixed Point Methods with Compressed Iterates.
CoRR, 2019

Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates.
CoRR, 2019

Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

RSN: Randomized Subspace Newton.
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

Optimization of the Process of Anaerobic Bioconversion of Liquid Organic Wastes.
ICO, 2019

2018
Stochastic Spectral and Conjugate Descent Methods.
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

Search for Gender Difference in Functional Connectivity of Resting State fMRI.
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


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