Alexander V. Gasnikov

201 papers A* 37A 6Misc 1Journal 127Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Methods with Compression for Horizontal and Vertical Federated Learning. J. Optim. Theory Appl. Sergey Stanko, Timur Karimullin, Aleksandr Beznosikov, Alexander V. Gasnikov
2026	J	`jnl`	Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation. CoRR Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey V. Savchenko, Martin Takác, Alexander V. Gasnikov
2026	J	`jnl`	Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation. J. Optim. Theory Appl. Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey V. Savchenko, Martin Takác, Alexander V. Gasnikov
2026	J	`jnl`	Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity. CoRR Boris Prokhorov, Semyon Chebykin, Alexander V. Gasnikov, Aleksandr Beznosikov
2026	J	`jnl`	Quantum-Inspired Episode Selection for Monte Carlo Reinforcement Learning via QUBO Optimization. CoRR Hadi Salloum, Ali Jnadi, Yaroslav Kholodov, Alexander V. Gasnikov
2026	J	`jnl`	SCOPE: Smooth Convex Optimization for Planned Evolution of Deformable Linear Objects. CoRR Ali Jnadi, Hadi Salloum, Yaroslav Kholodov, Alexander V. Gasnikov, Karam Almaghout
2025	—	`conf`	A Parameter-free Decentralized Algorithm for Composite Convex Optimization. CDC Xiaokai Chen, Ilya A. Kuruzov, Gesualdo Scutari, Alexander V. Gasnikov
2025	J	`jnl`	Accuracy Certificates for Convex Minimization with Inexact Oracle. J. Optim. Theory Appl. Egor Gladin, Alexander V. Gasnikov, Pavel E. Dvurechensky
2025	J	`jnl`	AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models. CoRR Nikolay Kutuzov, Makar Baderko, Stepan Kulibaba, Artem Dzhalilov, Daniel Bobrov, Maxim Mashtaler, Alexander V. Gasnikov
2025	A	`conf`	An Optimal Algorithm for Strongly Convex Min-Min Optimization. UAI Dmitry Kovalev, Alexander V. Gasnikov, Grigory Malinovsky
2025	A*	`conf`	Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed. ICML Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horváth, Martin Takác, Eduard Gorbunov
2025	J	`jnl`	Decentralised convex optimisation with probability-proportional-to-size quantization. EURO J. Comput. Optim. Dmitry Pasechnyuk, Pavel E. Dvurechensky, César A. Uribe, Alexander V. Gasnikov
2025	A*	`conf`	Decentralized Optimization with Coupled Constraints. ICLR Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander V. Gasnikov, Dmitry Kovalev
2025	J	`jnl`	Decentralized saddle point problems via non-Euclidean mirror prox. Optim. Methods Softw. Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Kovalev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2025	—	`conf`	Distributed Optimization with Quantization for Computing Wasserstein Barycenters. CDC Roman Krawtschenko, César A. Uribe, Alexander V. Gasnikov, Pavel E. Dvurechensky
2025	J	`jnl`	Distributed saddle point problems: lower bounds, near-optimal and robust algorithms. Optim. Methods Softw. Aleksandr Beznosikov, Valentin Samokhin, Alexander V. Gasnikov
2025	—	`conf`	Dual Smoothing for Decentralized Optimization. OPTIMA Alexander Rogozin, Nhat Trung Nguyen, Hamed Azami Zenuzagh, Alexander V. Gasnikov
2025	J	`jnl`	FLECS: a federated learning second-order framework via compression and sketching. Optim. Methods Softw. Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander V. Gasnikov, Martin Takác
2025	J	`jnl`	Gradient-type methods for decentralized optimization problems with Polyak-Łojasiewicz condition over time-varying networks. Optim. Methods Softw. Ilya A. Kuruzov, Mohammad S. Alkousa, Fedor S. Stonyakin, Alexander V. Gasnikov
2025	J	`jnl`	Intermediate Gradient Methods with Relative Inexactness. J. Optim. Theory Appl. Nikita Kornilov, Mohammad S. Alkousa, Eduard Gorbunov, Fedor S. Stonyakin, Pavel E. Dvurechensky, Alexander V. Gasnikov
2025	J	`jnl`	KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems. CoRR Stepan Kulibaba, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander V. Gasnikov, Aleksei Shpilman
2025	J	`jnl`	Modeling skiers flows via Wardrope equilibrium in closed capacitated networks. CoRR Demyan Yarmoshik, Igor Ignashin, Ekaterina Sikacheva, Alexander V. Gasnikov
2025	A*	`conf`	OPTAMI: Global Superlinear Convergence of High-order Methods. ICLR Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takác
2025	A*	`conf`	On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms. ICML Ekaterina Borodich, Alexander V. Gasnikov, Dmitry Kovalev
2025	J	`jnl`	One-point feedback for composite optimization with applications to distributed and federated learning. Optim. Methods Softw. Aleksandr Beznosikov, Ivan Stepanov, Artyom Voronov, Alexander V. Gasnikov
2025	J	`jnl`	Preface for the special issue advances in distributed optimization. Optim. Methods Softw. Alexander V. Gasnikov, Angelia Nedich
2025	J	`jnl`	Sign Operator for Coping with Heavy-Tailed Noise: High Probability Convergence Bounds with Extensions to Distributed Optimization and Comparison Oracle. CoRR Nikita Kornilov, Philip Zmushko, Andrei Semenov, Alexander V. Gasnikov, Aleksandr Beznosikov
2025	J	`jnl`	Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees. CoRR Artem Agafonov, Vladislav Ryspayev, Samuel Horváth, Alexander V. Gasnikov, Martin Takác, Slavomír Hanzely
2025	J	`jnl`	The mirror-prox sliding method for non-smooth decentralized saddle-point problems. Optim. Methods Softw. Ilya A. Kuruzov, Alexander Rogozin, Demyan Yarmoshik, Alexander V. Gasnikov
2025	J	`jnl`	Training-Free Out-Of-Distribution Segmentation With Foundation Models. CoRR Laith Nayal, Hadi Salloum, Ahmad Taha, Yaroslav Kholodov, Alexander V. Gasnikov
2025	J	`jnl`	UCB-type Algorithm for Budget-Constrained Expert Learning. CoRR Ilgam Latypov, Alexandra L. Suvorikova, Alexey Kroshnin, Alexander V. Gasnikov, Yuriy Dorn
2024	J	`jnl`	Accelerated zero-order SGD under high-order smoothness and overparameterized regime. CoRR Georgii Bychkov, Darina Dvinskikh, Anastasia Antsiferova, Alexander V. Gasnikov, Aleksandr V. Lobanov
2024	A*	`conf`	Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values. NeurIPS Aleksandr V. Lobanov, Alexander V. Gasnikov, Andrey Krasnov
2024	A*	`conf`	Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization. NeurIPS Ilya A. Kuruzov, Gesualdo Scutari, Alexander V. Gasnikov
2024	J	`jnl`	Activations and Gradients Compression for Model-Parallel Training. CoRR Mikhail Rudakov, Aleksandr Beznosikov, Yaroslav Kholodov, Alexander V. Gasnikov
2024	J	`jnl`	AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size. CoRR Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov
2024	A*	`conf`	Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác
2024	—	`conf`	An Equilibrium Dynamic Traffic Assignment Model with Linear Programming Formulation. OPTIMA Victoria Guseva, Ilya Sklonin, Irina Podlipnova, Demyan Yarmoshik, Alexander V. Gasnikov
2024	J	`jnl`	An Equilibrium Dynamic Traffic Assignment Model with Linear Programming Formulation. CoRR Victoria Guseva, Ilya Sklonin, Irina Podlipnova, Demyan Yarmoshik, Alexander V. Gasnikov
2024	J	`jnl`	Average-case optimization analysis for distributed consensus algorithms on regular graphs. CoRR Nhat Trung Nguyen, Alexander Rogozin, Alexander V. Gasnikov
2024	A	`conf`	Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. AISTATS Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov
2024	J	`jnl`	Decentralized convex optimization on time-varying networks with application to Wasserstein barycenters. Comput. Manag. Sci. Olga Yufereva, Michael Persiianov, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kovalev
2024	J	`jnl`	Decentralized optimization over slowly time-varying graphs: algorithms and lower bounds. Comput. Manag. Sci. Dmitry Metelev, Aleksandr Beznosikov, Alexander Rogozin, Alexander V. Gasnikov, Anton V. Proskurnikov
2024	J	`jnl`	Decentralized optimization with affine constraints over time-varying networks. Comput. Manag. Sci. Demyan Yarmoshik, Alexander Rogozin, Alexander V. Gasnikov
2024	J	`jnl`	Decentralized saddle-point problems with different constants of strong convexity and strong concavity. Comput. Manag. Sci. Dmitry Metelev, Alexander Rogozin, Alexander V. Gasnikov, Dmitry Kovalev
2024	J	`jnl`	Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance. CoRR Mark Obozov, Makar Baderko, Stepan Kulibaba, Nikolay Kutuzov, Alexander V. Gasnikov
2024	A*	`conf`	Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations. NeurIPS Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takác, Alexander V. Gasnikov, Dmitry Kamzolov
2024	—	`conf`	Extragradient Sliding for Composite Non-monotone Variational Inequalities. OPTIMA Roman Emelyanov, Andrey Tikhomirov, Aleksandr Beznosikov, Alexander V. Gasnikov
2024	J	`jnl`	Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed. CoRR Saveliy Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horváth, Martin Takác, Eduard Gorbunov
2024	J	`jnl`	High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise. J. Optim. Theory Appl. Eduard Gorbunov, Marina Danilova, Innokentiy Shibaev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2024	A*	`conf`	High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise. ICML Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2024	J	`jnl`	Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits. Comput. Manag. Sci. Yuriy Dorn, Nikita Kornilov, Nikolay Kutuzov, Alexander Nazin, Eduard Gorbunov, Alexander V. Gasnikov
2024	J	`jnl`	Inexact tensor methods and their application to stochastic convex optimization. Optim. Methods Softw. Artem Agafonov, Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov, Martin Takác
2024	J	`jnl`	Local Methods with Adaptivity via Scaling. CoRR Saveliy Chezhegov, Sergey Skorik, Nikolas Khachaturov, Danil Shalagin, Aram Avetisyan, Aleksandr Beznosikov, Martin Takác, Yaroslav Kholodov, Alexander V. Gasnikov
2024	A*	`conf`	Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks. NeurIPS Dmitry Kovalev, Ekaterina Borodich, Alexander V. Gasnikov, Dmitrii Feoktistov
2024	J	`jnl`	Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks. CoRR Dmitry Kovalev, Ekaterina Borodich, Alexander V. Gasnikov, Dmitrii Feoktistov
2024	J	`jnl`	Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods. Optim. Methods Softw. Pavel E. Dvurechensky, Petr Ostroukhov, Alexander V. Gasnikov, César A. Uribe, Anastasiya Ivanova
2024	—	`conf`	Nesterov's Method of Dichotomy via Order Oracle: The Problem of Optimizing a Two-Variable Function on a Square. OPTIMA Boris Chervonenkis, Andrei Krasnov, Alexander V. Gasnikov, Aleksandr V. Lobanov
2024	J	`jnl`	Optimal Data Splitting in Distributed Optimization for Machine Learning. CoRR Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov, Alexander V. Gasnikov
2024	A*	`conf`	Optimal Flow Matching: Learning Straight Trajectories in Just One Step. NeurIPS Nikita Kornilov, Petr Mokrov, Alexander V. Gasnikov, Alexander Korotin
2024	J	`jnl`	Optimal Flow Matching: Learning Straight Trajectories in Just One Step. CoRR Nikita Kornilov, Alexander V. Gasnikov, Alexander Korotin
2024	J	`jnl`	Preconditioning meets biased compression for efficient distributed optimization. Comput. Manag. Sci. Vitali Pirau, Aleksandr Beznosikov, Martin Takác, Vladislav Matyukhin, Alexander V. Gasnikov
2024	J	`jnl`	Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints. Comput. Manag. Sci. Meruza Kubentayeva, Demyan Yarmoshik, Michael Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander V. Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov
2024	J	`jnl`	Ruppert-Polyak averaging for Stochastic Order Oracle. CoRR V. N. Smirnov, K. M. Kazistova, I. A. Sudakov, V. Leplat, Alexander V. Gasnikov, A. V. Lobanov
2024	J	`jnl`	Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning. CoRR Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov, Alexander V. Gasnikov
2024	A	`conf`	Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases. AISTATS Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Aleksandr Beznosikov, Gauthier Gidel, Alexander V. Gasnikov
2024	J	`jnl`	The "Black-Box" Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation. J. Optim. Theory Appl. Aleksandr V. Lobanov, Nail Bashirov, Alexander V. Gasnikov
2023	—	`conf`	Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem Under "Overparametrization" Condition. OPTIMA Aleksandr V. Lobanov, Alexander V. Gasnikov
2023	A*	`conf`	Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance. NeurIPS Nikita Kornilov, Ohad Shamir, Aleksandr V. Lobanov, Darina Dvinskikh, Alexander V. Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth
2023	J	`jnl`	Accelerated gradient methods with absolute and relative noise in the gradient. Optim. Methods Softw. Artem Vasin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Vladimir G. Spokoiny
2023	J	`jnl`	Accelerated methods for weakly-quasi-convex optimization problems. Comput. Manag. Sci. Sergey Guminov, Alexander V. Gasnikov, Ilya A. Kuruzov
2023	A	`conf`	Algorithm for Constrained Markov Decision Process with Linear Convergence. AISTATS Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takác
2023	—	`conf`	Algorithms for Euclidean-Regularised Optimal Transport. OPTIMA Dmitry Pasechnyuk, Michael Persiianov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2023	J	`jnl`	Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. CoRR Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov
2023	J	`jnl`	Decentralized Conditional Gradient Method on Time-Varying Graphs. Program. Comput. Softw. R. A. Vedernikov, Alexander Rogozin, Alexander V. Gasnikov
2023	A*	`conf`	First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities. NeurIPS Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander V. Gasnikov, Alexey Naumov, Eric Moulines
2023	J	`jnl`	First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities. CoRR Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander V. Gasnikov, Alexey Naumov, Eric Moulines
2023	J	`jnl`	Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact. Comput. Manag. Sci. Nikita Kornilov, Alexander V. Gasnikov, Pavel E. Dvurechensky, Darina Dvinskikh
2023	A*	`conf`	High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance. ICML Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023	J	`jnl`	High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance. CoRR Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023	J	`jnl`	High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise. CoRR Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
2023	J	`jnl`	Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits. CoRR Yuriy Dorn, Nikita Kornilov, Nikolay Kutuzov, Alexander Nazin, Eduard Gorbunov, Alexander V. Gasnikov
2023	A*	`conf`	Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov
2023	J	`jnl`	Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs. Comput. Manag. Sci. Aleksandr V. Lobanov, Andrew Veprikov, Georgiy Konin, Aleksandr Beznosikov, Alexander V. Gasnikov, Dmitry Kovalev
2023	J	`jnl`	On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model. Program. Comput. Softw. N. A. Il'tyakov, M. A. Obozov, I. M. Dyshlevski, Demyan Yarmoshik, M. B. Kubentaeva, Alexander V. Gasnikov, Evgenia Gasnikova
2023	—	`conf`	Real Acceleration of Communication Process in Distributed Algorithms with Compression. OPTIMA Svetlana Tkachenko, Artem Andreev, Aleksandr Beznosikov, Alexander V. Gasnikov
2023	A*	`conf`	Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities. NeurIPS Aleksandr Beznosikov, Martin Takác, Alexander V. Gasnikov
2023	J	`jnl`	Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities. CoRR Aleksandr Beznosikov, Alexander V. Gasnikov
2022	A*	`conf`	A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate. NeurIPS Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác
2022	A*	`conf`	Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling. NeurIPS Dmitry Kovalev, Alexander V. Gasnikov, Peter Richtárik
2022	J	`jnl`	Accelerated variance-reduced methods for saddle-point problems. EURO J. Comput. Optim. Ekaterina Borodich, Vladislav Tominin, Yaroslav Tominin, Dmitry Kovalev, Alexander V. Gasnikov, Pavel E. Dvurechensky
2022	A	`conf`	Acceleration in Distributed Optimization under Similarity. AISTATS Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov
2022	J	`jnl`	Algorithm for Constrained Markov Decision Process with Linear Convergence. CoRR Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takác
2022	J	`jnl`	An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization. SIAM J. Optim. Eduard Gorbunov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2022	J	`jnl`	An Optimal Algorithm for Strongly Convex Min-min Optimization. CoRR Dmitry Kovalev, Alexander V. Gasnikov, Grigory Malinovsky
2022	—	`conf`	Application of Attention Technique for Digital Pre-distortion. OPTIMA (2) Aleksandr Maslovskiy, Aleksandr Kunitsyn, Alexander V. Gasnikov
2022	A*	`conf`	Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. NeurIPS Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel
2022	J	`jnl`	Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. CoRR Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechensky, Alexander V. Gasnikov, Gauthier Gidel
2022	—	`conf`	Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities. OPTIMA Aleksandr Beznosikov, Alexander V. Gasnikov
2022	J	`jnl`	Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities. CoRR Aleksandr Beznosikov, Alexander V. Gasnikov
2022	A*	`conf`	Decentralized Local Stochastic Extra-Gradient for Variational Inequalities. NeurIPS Aleksandr Beznosikov, Pavel E. Dvurechensky, Anastasia Koloskova, Valentin Samokhin, Sebastian U. Stich, Alexander V. Gasnikov
2022	—	`conf`	Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches. OPTIMA (2) Alexander Rogozin, Demyan Yarmoshik, Ksenia Kopylova, Alexander V. Gasnikov
2022	J	`jnl`	Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes. EURO J. Comput. Optim. Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takác, Alexander V. Gasnikov
2022	A*	`conf`	Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees. NeurIPS Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov
2022	J	`jnl`	Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov
2022	J	`jnl`	Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle. J. Optim. Theory Appl. Fedor S. Stonyakin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Alexander A. Titov, Mohammad S. Alkousa
2022	J	`jnl`	Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov
2022	J	`jnl`	Improved exploitation of higher order smoothness in derivative-free optimization. Optim. Lett. Vasilii Novitskii, Alexander V. Gasnikov
2022	J	`jnl`	On Scaled Methods for Saddle Point Problems. CoRR Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takác, Alexander V. Gasnikov
2022	A*	`conf`	Optimal Algorithms for Decentralized Stochastic Variational Inequalities. NeurIPS Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander V. Gasnikov
2022	J	`jnl`	Optimal Algorithms for Decentralized Stochastic Variational Inequalities. CoRR Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander V. Gasnikov
2022	J	`jnl`	Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity. CoRR Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari
2022	A*	`conf`	Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity. NeurIPS Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari
2022	J	`jnl`	Oracle Complexity Separation in Convex Optimization. J. Optim. Theory Appl. Anastasiya Ivanova, Pavel E. Dvurechensky, Evgeniya A. Vorontsova, Dmitry Pasechnyuk, Alexander V. Gasnikov, Darina Dvinskikh, Alexander Tyurin
2022	A	`conf`	Primal-Dual Stochastic Mirror Descent for MDPs. AISTATS Daniil Tiapkin, Alexander V. Gasnikov
2022	J	`jnl`	SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities. CoRR Aleksandr Beznosikov, Alexander V. Gasnikov
2022	J	`jnl`	Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems - Survey. CoRR Aleksandr Beznosikov, Boris T. Polyak, Eduard Gorbunov, Dmitry Kovalev, Alexander V. Gasnikov
2022	—	`conf`	Some Adaptive First-Order Methods for Variational Inequalities with Relatively Strongly Monotone Operators and Generalized Smoothness. OPTIMA Seydamet S. Ablaev, Alexander A. Titov, Fedor S. Stonyakin, Mohammad S. Alkousa, Alexander V. Gasnikov
2022	J	`jnl`	Stochastic saddle-point optimization for the Wasserstein barycenter problem. Optim. Lett. Daniil Tiapkin, Alexander V. Gasnikov, Pavel E. Dvurechensky
2022	A*	`conf`	The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization. NeurIPS Dmitry Kovalev, Alexander V. Gasnikov
2022	J	`jnl`	The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization. CoRR Dmitry Kovalev, Alexander V. Gasnikov
2022	A*	`conf`	The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization. NeurIPS Dmitry Kovalev, Alexander V. Gasnikov
2022	J	`jnl`	The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization. CoRR Dmitry Kovalev, Alexander V. Gasnikov
2022	A*	`conf`	The power of first-order smooth optimization for black-box non-smooth problems. ICML Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takác, Pavel E. Dvurechensky, Bin Gu
2022	J	`jnl`	Zeroth-order methods for noisy Hölder-gradient functions. Optim. Lett. Innokentiy Shibaev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2021	J	`jnl`	A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2021	A*	`conf`	ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks. ICML Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Alexander Rogozin, Alexander V. Gasnikov
2021	J	`jnl`	ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks. CoRR Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Alexander Rogozin, Alexander V. Gasnikov
2021	J	`jnl`	Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling. CoRR Dmitry Kovalev, Alexander V. Gasnikov, Peter Richtárik
2021	J	`jnl`	Acceleration in Distributed Optimization Under Similarity. CoRR Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov
2021	—	`conf`	Adaptive Catalyst for Smooth Convex Optimization. OPTIMA Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander V. Gasnikov, Vladislav Matyukhin
2021	—	`conf`	An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs. CDC Alexander Rogozin, Mikhail Bochko, Pavel E. Dvurechensky, Alexander V. Gasnikov, Vladislav Lukoshkin
2021	—	`conf`	An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand
2021	J	`jnl`	An accelerated directional derivative method for smooth stochastic convex optimization. Eur. J. Oper. Res. Pavel E. Dvurechensky, Eduard Gorbunov, Alexander V. Gasnikov
2021	J	`jnl`	Composite optimization for the resource allocation problem. Optim. Methods Softw. Anastasiya Ivanova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Dmitry Kamzolov
2021	—	`conf`	Convex Optimization with Inexact Gradients in Hilbert Space and Applications to Elliptic Inverse Problems. MOTOR Vladislav Matyukhin, Sergey Igorevich Kabanikhin, Maxim A. Shishlenin, Nikita S. Novikov, Artem Vasin, Alexander V. Gasnikov
2021	J	`jnl`	Convex optimization. CoRR Evgeniya A. Vorontsova, Roland Hildebrand, Alexander V. Gasnikov, Fedor S. Stonyakin
2021	J	`jnl`	Decentralized Distributed Optimization for Saddle Point Problems. CoRR Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Kovalev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2021	J	`jnl`	Decentralized Local Stochastic Extra-Gradient for Variational Inequalities. CoRR Aleksandr Beznosikov, Pavel E. Dvurechensky, Anastasia Koloskova, Valentin Samokhin, Sebastian U. Stich, Alexander V. Gasnikov
2021	J	`jnl`	Decentralized Personalized Federated Min-Max Problems. CoRR Aleksandr Beznosikov, Vadim Sushko, Abdurakhmon Sadiev, Alexander V. Gasnikov
2021	J	`jnl`	Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees. CoRR Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov
2021	A*	`conf`	Distributed Saddle-Point Problems Under Data Similarity. NeurIPS Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov
2021	J	`jnl`	Distributed Saddle-Point Problems Under Similarity. CoRR Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov
2021	J	`jnl`	Inexact model: a framework for optimization and variational inequalities. Optim. Methods Softw. Fedor S. Stonyakin, Alexander Tyurin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Artem Agafonov, Darina Dvinskikh, Mohammad S. Alkousa, Dmitry Pasechnyuk, Sergei Artamonov, Victoria V. Piskunova
2021	A*	`conf`	Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks. NeurIPS Dmitry Kovalev, Elnur Gasanov, Alexander V. Gasnikov, Peter Richtárik
2021	J	`jnl`	Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks. CoRR Dmitry Kovalev, Elnur Gasanov, Peter Richtárik, Alexander V. Gasnikov
2021	—	`conf`	Near-Optimal Decentralized Algorithms for Saddle Point Problems over Time-Varying Networks. OPTIMA Aleksandr Beznosikov, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov
2021	J	`jnl`	Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise. CoRR Eduard Gorbunov, Marina Danilova, Innokentiy Shibaev, Pavel E. Dvurechensky, Alexander V. Gasnikov
2021	A*	`conf`	Newton Method over Networks is Fast up to the Statistical Precision. ICML Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov
2021	J	`jnl`	Newton Method over Networks is Fast up to the Statistical Precision. CoRR Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov
2021	A*	`conf`	On a Combination of Alternating Minimization and Nesterov's Momentum. ICML Sergey Guminov, Pavel E. Dvurechensky, Nazarii Tupitsa, Alexander V. Gasnikov
2021	J	`jnl`	One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization. CoRR Ivan Stepanov, Artyom Voronov, Aleksandr Beznosikov, Alexander V. Gasnikov
2021	—	`conf`	One-Point Gradient-Free Methods for Smooth and Non-smooth Saddle-Point Problems. MOTOR Aleksandr Beznosikov, Vasilii Novitskii, Alexander V. Gasnikov
2021	J	`jnl`	Primal-dual accelerated gradient methods with small-dimensional relaxation oracle. Optim. Methods Softw. Yurii E. Nesterov, Alexander V. Gasnikov, Sergey Guminov, Pavel E. Dvurechensky
2021	J	`jnl`	Solving Convex Min-Min Problems with Smoothness and Strong Convexity in One Group of Variables and Low Dimension in the Other. Autom. Remote. Control. Egor Gladin, Mohammad S. Alkousa, Alexander V. Gasnikov
2021	—	`conf`	Towards Accelerated Rates for Distributed Optimization over Time-Varying Networks. OPTIMA Alexander Rogozin, Vladislav Lukoshkin, Alexander V. Gasnikov, Dmitry Kovalev, Egor Shulgin
2021	J	`jnl`	Universal intermediate gradient method for convex problems with inexact oracle. Optim. Methods Softw. Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2020	Misc	`conf`	A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2020	—	`conf`	A Stable Alternative to Sinkhorn's Algorithm for Regularized Optimal Transport. MOTOR Pavel E. Dvurechensky, Alexander V. Gasnikov, Sergey Omelchenko, Alexander Tiurin
2020	J	`jnl`	Gradient-Free Methods for Saddle-Point Problem. CoRR Aleksandr Beznosikov, Abdurakhmon Sadiev, Alexander V. Gasnikov
2020	J	`jnl`	Local SGD for Saddle-Point Problems. CoRR Aleksandr Beznosikov, Valentin Samokhin, Alexander V. Gasnikov
2020	—	`conf`	Multimarginal Optimal Transport by Accelerated Alternating Minimization. CDC Nazarii Tupitsa, Pavel E. Dvurechensky, Alexander V. Gasnikov, César A. Uribe
2020	—	`conf`	Optimal Combination of Tensor Optimization Methods. OPTIMA Dmitry Kamzolov, Alexander V. Gasnikov, Pavel E. Dvurechensky
2020	J	`jnl`	Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. IEEE Trans. Control. Netw. Syst. Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic
2020	—	`conf`	Penalty-Based Method for Decentralized Optimization over Time-Varying Graphs. OPTIMA Alexander Rogozin, Alexander V. Gasnikov
2020	J	`jnl`	Recent Theoretical Advances in Non-Convex Optimization. CoRR Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev
2020	A*	`conf`	Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping. NeurIPS Eduard Gorbunov, Marina Danilova, Alexander V. Gasnikov
2020	J	`jnl`	Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping. CoRR Eduard Gorbunov, Marina Danilova, Alexander V. Gasnikov
2020	J	`jnl`	Stochastic Saddle-Point Optimization for Wasserstein Barycenters. CoRR Daniil Tiapkin, Alexander V. Gasnikov, Pavel E. Dvurechensky
2020	J	`jnl`	Zeroth-Order Algorithms for Smooth Saddle-Point Problems. CoRR Abdurakhmon Sadiev, Aleksandr Beznosikov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2019	J	`jnl`	A universal modification of the linear coupling method. Optim. Methods Softw. Sergey Guminov, Alexander V. Gasnikov, Anton Anikin, Alexander Gornov
2019	J	`jnl`	Accelerated Alternating Minimization. CoRR Sergey Guminov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2019	J	`jnl`	Accelerated Directional Search with Non-Euclidean Prox-Structure. Autom. Remote. Control. Evgeniya A. Vorontsova, Alexander V. Gasnikov, Eduard A. Gorbunov
2019	J	`jnl`	Accelerated Gradient-Free Optimization Methods with a Non-Euclidean Proximal Operator. Autom. Remote. Control. Evgeniya A. Vorontsova, Alexander V. Gasnikov, Eduard A. Gorbunov, Pavel E. Dvurechenskii
2019	—	`conf`	Gradient Methods for Problems with Inexact Model of the Objective. MOTOR Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov
2019	A*	`conf`	Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019	—	`conf`	On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks. CDC Darina Dvinskikh, Eduard Gorbunov, Alexander V. Gasnikov, Pavel E. Dvurechensky, César A. Uribe
2019	J	`jnl`	On the Complexity of Approximating Wasserstein Barycenter. CoRR Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe
2019	A*	`conf`	On the Complexity of Approximating Wasserstein Barycenters. ICML Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe
2019	A*	`conf`	Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization. COLT Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe
2018	J	`jnl`	A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. CoRR César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2018	J	`jnl`	An Accelerated Directional Derivative Method for Smooth Stochastic Convex Optimization. CoRR Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov
2018	J	`jnl`	An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization. CoRR Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov
2018	A*	`conf`	Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm. ICML Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexey Kroshnin
2018	J	`jnl`	Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm. CoRR Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexey Kroshnin
2018	A*	`conf`	Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. NeurIPS Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich
2018	J	`jnl`	Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. CoRR Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic
2018	—	`conf`	Distributed Computation of Wasserstein Barycenters Over Networks. CDC Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
2018	J	`jnl`	Distributed Computation of Wasserstein Barycenters over Networks. CoRR César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
2018	J	`jnl`	Gradient-Free Two-Point Methods for Solving Stochastic Nonsmooth Convex Optimization Problems with Small Non-Random Noises. Autom. Remote. Control. A. S. Bayandina, Alexander V. Gasnikov, Anastasia A. Lagunovskaya
2017	J	`jnl`	Around power law for PageRank components in Buckley-Osthus model of web graph. CoRR Alexander V. Gasnikov, Maksim Zhukovskii, Sergey Kim, Fedor Noskov, Stepan Plaunov, Daniil Smirnov
2017	J	`jnl`	Optimal Algorithms for Distributed Optimization. CoRR César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2017	J	`jnl`	Randomized Similar Triangles Method: A Unifying Framework for Accelerated Randomized Optimization Methods (Coordinate Descent, Directional Search, Derivative-Free Method). CoRR Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexander Tiurin
2017	J	`jnl`	Stochastic online optimization. Single-point and multi-point non-linear multi-armed bandits. Convex and strongly-convex case. Autom. Remote. Control. Alexander V. Gasnikov, Ekaterina A. Krymova, Anastasia A. Lagunovskaya, Ilnura Usmanova, Fedor A. Fedorenko
2016	—	`conf`	Fast Primal-Dual Gradient Method for Strongly Convex Minimization Problems with Linear Constraints. DOOR Alexey Chernov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2016	J	`jnl`	Gradient-free proximal methods with inexact oracle for convex stochastic nonsmooth optimization problems on the simplex. Autom. Remote. Control. Alexander V. Gasnikov, Anastasia A. Lagunovskaya, Ilnura Usmanova, Fedor A. Fedorenko
2016	—	`conf`	Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods. NIPS Lev Bogolubsky, Pavel E. Dvurechensky, Alexander V. Gasnikov, Gleb Gusev, Yurii E. Nesterov, Andrei M. Raigorodskii, Aleksey Tikhonov, Maksim Zhukovskii
2016	—	`conf`	Primal-Dual Method for Searching Equilibrium in Hierarchical Congestion Population Games. DOOR (Supplement) Pavel E. Dvurechensky, Alexander V. Gasnikov, Evgenia Gasnikova, Sergey Matsievsky, Anton Rodomanov, Inna Usik
2016	J	`jnl`	Stochastic Intermediate Gradient Method for Convex Problems with Stochastic Inexact Oracle. J. Optim. Theory Appl. Pavel E. Dvurechensky, Alexander V. Gasnikov
2014	J	`jnl`	Efficient randomized algorithms for PageRank problem. CoRR Alexander V. Gasnikov, Denis Dmitriev
2012	J	`jnl`	Selected mathematical problems of traffic flow theory. Int. J. Comput. Math. Alexander P. Buslaev, Alexander V. Gasnikov, Marina V. Yashina