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Dvinskikh, Darina
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1

Decentralized saddle point problems via non-Euclidean mirro..:

Rogozin, Alexander ; Beznosikov, Aleksandr ; Dvinskikh, Darina...
Optimization Methods and Software.  , 2024
Link: https://doi.org/10.1080/..
 
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2

Gradient-free algorithm for saddle point problems under ove..:

Statkevich, Ekaterina ; Bondar, Sofiya ; Dvinskikh, Darina..
Chaos, Solitons & Fractals.  185 (2024)  - p. 115048 , 2024
Link: https://doi.org/10.1016/..
 
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3

Gradient-free methods for non-smooth convex stochastic opti..:

Kornilov, Nikita ; Gasnikov, Alexander ; Dvurechensky, Pavel.
Computational Management Science.  20 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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4

Oracle Complexity Separation in Convex Optimization:

Ivanova, Anastasiya ; Dvurechensky, Pavel ; Vorontsova, Evgeniya...
Journal of Optimization Theory and Applications.  193 (2022)  1-3 - p. 462-490 , 2022
Link: https://doi.org/10.1007/..
 
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5

Decentralized personalized federated learning: Lower bounds..:

Sadiev, Abdurakhmon ; Borodich, Ekaterina ; Beznosikov, Aleksandr...
EURO Journal on Computational Optimization.  10 (2022)  - p. 100041 , 2022
Link: https://doi.org/10.1016/..
 
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6

Noisy Zeroth-Order Optimization for Non-smooth Saddle Point..:

, In: Mathematical Optimization Theory and Operations Research; Lecture Notes in Computer Science,
Dvinskikh, Darina ; Tominin, Vladislav ; Tominin, Iaroslav. - p. 18-33 , 2022
Link: https://doi.org/10.1007/..
 
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7

Recent Theoretical Advances in Decentralized Distributed Co..:

, In: High-Dimensional Optimization and Probability; Springer Optimization and Its Applications,
Gorbunov, Eduard ; Rogozin, Alexander ; Beznosikov, Aleksandr.. - p. 253-325 , 2022
Link: https://doi.org/10.1007/..
 
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8

Decentralized Algorithms for Wasserstein Barycenters:

Dvinskikh, Darina , 2021
Link: https://nbn-resolving.de..
 
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9

Stochastic approximation versus sample average approximatio..:

Dvinskikh, Darina
Optimization Methods and Software.  37 (2021)  5 - p. 1603-1635 , 2021
Link: https://doi.org/10.1080/..
 
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10

Inexact model: a framework for optimization and variational..:

Stonyakin, Fedor ; Tyurin, Alexander ; Gasnikov, Alexander...
Optimization Methods and Software.  36 (2021)  6 - p. 1155-1201 , 2021
Link: https://doi.org/10.1080/..
 
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11

On Primal and Dual Approaches for Distributed Stochastic Co..:

, In: 2019 IEEE 58th Conference on Decision and Control (CDC),
Dvinskikh, Darina ; Gorbunov, Eduard ; Gasnikov, Alexander.. - p. 7435-7440 , 2019
Link: https://doi.org/10.1109/..
 
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12

Gradient Methods for Problems with Inexact Model of the Obj..:

, In: Mathematical Optimization Theory and Operations Research; Lecture Notes in Computer Science,
Stonyakin, Fedor S. ; Dvinskikh, Darina ; Dvurechensky, Pavel... - p. 97-114 , 2019
Link: https://doi.org/10.1007/..
 
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13

Gradient-Free Methods for Non-Smooth Convex Stochastic Opti..:

Kornilov, Nikita ; Gasnikov, Alexander ; Dvurechensky, Pavel.
http://arxiv.org/abs/2304.02442.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Accelerated Zeroth-order Method for Non-Smooth Stochastic C..:

Kornilov, Nikita ; Shamir, Ohad ; Lobanov, Aleksandr...
http://arxiv.org/abs/2310.18763.  , 2023
Link: http://arxiv.org/abs/231..
 
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15

About some works of Boris Polyak on convergence of gradient..:

Ablaev, Seydamet ; Beznosikov, Aleksandr ; Gasnikov, Alexander...
http://arxiv.org/abs/2311.16743.  , 2023
Link: http://arxiv.org/abs/231..
 
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