Dmitry Vilensky (Pasechnyuk)  |  Curriculum Vitae

Дмитрий Виленский (Пасечнюк)

Bio


I was born in the Baltic in 2004. Today, I work as a software engineer and research mathematician under the supervision of Prof. Alexander Gasnikov.

As a hobby, I am writing poems (see „Tendermess“), studying theoretical linguistics (as an assistant at Institute for Linguistic Studies RAS), and doing ballet.

„Photo album“ describes a little more about me.

Education


Moscow Institute of Physics and Technology  site

Dolgoprudny, 2020–now    Sc.B. student

Computer Science Center  site

Saint Petersburg, 2018–now    SE & CS student

Physics and Mathematics Lyceum №239  site

Saint Petersburg, 2017–2020    student

Advisors

Prof. Alexander Gasnikov

(2017–now)

Sc.D. Alexander Gornov

(2020–now)

Contacts

dmivilensky1@gmail.com

pasechniuk.da@mipt.ru

dmitry.vilensky@mbzuai.ac.ae

Links

Google Scholar
Scopus
GitHub

Positions


Moscow Institute of Physics and Technology  site

Lab. of Advanced Combinatorics and Net. Applications

Dolgoprudny, 2020–now    laboratory assistant


Internships


Mohamed bin Zayed University of AI  site

led by Assoc. Prof. Martin Takáč

Abu Dhabi, 2022 March–now    research assistant

Leonhard Euler Mathematical Institute  site

led by Ph.D. Fedor Pavutnitskiy

Saint Petersburg, 2021–now

JetBrains Research  site

Lab. of ML Methods in SE

led by Ph.D. Mikhail Evtikhiev

Saint Petersburg, 2021–2022


Joint projects


Huawei Russian Research Institute

(Eugene Yanitskiy & Andrey Vorobyev)

Moscow, 2020–now    R&D assistant

3 projects led by Prof. Alexander Gasnikov

2 projects led by Prof. Roland Hildebrand

VTB Bank

Moscow, 2021–now    R&D assistant

project led by Alexey Chernov

got Data Fusion Award 2022


Affiliations


Institute for Information Transmission Problems RAS  site

Sec. 7 Mathematical Methods of Predictive Modelling

Moscow, 2021–now    research intern

Ivannikov Institute for System Programming RAS  site

Research Center for Trusted AI

Moscow, 2021–now    research intern

Papers

  |  count: 19,  h-index: 6



Selected

Pasechnyuk, D.Matyukhin, V.:

On the Computational Efficiency of Catalyst Accelerated Coordinate Descent. International Conference on Mathematical Optimization Theory and Operations Research. Lecture Notes in Computer Science 12755, 176–191. Springer, Cham (2021). DOI 10.1007/978-3-030-77876-7_12

Pasechnyuk, D.Stonyakin, F.:

One method for minimization a convex Lipschitz-continuous function of two variables on a fixed square. Computer Research and Modeling 11(3), 379–395 (2019). DOI 10.20537/2076-7633-2019-11-3-379-395


Published

  |  the list is scrollable

2022

Ivanova, A.Dvurechensky, P.Vorontsova, E.Pasechnyuk, D.Gasnikov, A.Dvinskikh, D.Tyurin, A.:

Oracle Complexity Separation in Convex Optimization. Journal of Optimization Theory and Applications (2022). URL https://arxiv.org/abs/2002.02706 (Q1)

Alpatov, A.Peters, E.Pasechnyuk, D.Raigorodskii, A.:

Stochastic optimization in digital pre-distortion of the signal. Computer Research and Modeling (2022). URL https://arxiv.org/abs/2201.12159

Beznosikov, A.Gasnikov, A.Zainullina, K.Maslovskiy, A.Pasechnyuk, D.:

A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization and Coordinate Descent. Computational Mathematics and Mathematical Physics (2022). URL https://arxiv.org/abs/2201.12206 (Q2)

Pasechnyuk, D.Anikin, A.Matyukhin, V.:

Accelerated Proximal Envelopes: Application to the Coordinate Descent Method. Computational Mathematics and Mathematical Physics 62(2), 342–352 (2022). DOI 10.1134/S0965542522020038 (Q2)

2021

Pasechnyuk, D.Raigorodskii, A.:

Network utility maximization by updating individual transmission rates. International Conference on Optimization and Applications. Communications in Computer and Information Science 1514, 184–198. Springer, Cham (2021). DOI 10.1007/978-3-030-92711-0_13

Pasechnyuk, D.Dvurechensky, P.Omelchenko, S.Gasnikov, A.:

Stochastic optimization for dynamic pricing. International Conference on Optimization and Applications. Communications in Computer and Information Science 1514, 82–94. Springer, Cham (2021). DOI 10.1007/978-3-030-92711-0_6

Pasechnyuk, D.Matyukhin, V.:

On the Computational Efficiency of Catalyst Accelerated Coordinate Descent. International Conference on Mathematical Optimization Theory and Operations Research. Lecture Notes in Computer Science 12755, 176–191. Springer, Cham (2021). DOI 10.1007/978-3-030-77876-7_12

Pasechnyuk, D.Maslovskiy, A.Gasnikov, A.Anikin, A.Rogozin, A.Gornov, A.Vorobyev, A.Antonov, L.Vlasov, R.Nikolaeva, A.Yanitskiy, E.Begicheva, M.:

Non-convex optimization in digital pre-distortion of the signal. International Conference on Mathematical Optimization Theory and Operations Research. Communications in Computer and Information Science 1476, 54–70. Springer, Cham (2021). DOI 10.1007/978-3-030-86433-0_4

Gasnikov, A.Dvinskikh, D.Dvurechensky, P.Kamzolov, D.Matyukhin, V.Pasechnyuk, D.Tupitsa, N.Chernov, A.:

Accelerated meta-algorithm for convex optimization. Computational Mathematics and Mathematical Physics 61(1), 17–28 (2021). DOI 10.1134/S096554252101005X (Q2)

Ivanova, A.Pasechnyuk, D.Grishchenko, D.Shulgin, E.Gasnikov, A.Matyukhin, V.:

Adaptive catalyst for smooth convex optimization. International Conference on Optimization and Applications. Lecture Notes in Computer Science 13078, 20-37. Springer, Cham (2021). DOI 10.1007/978-3-030-91059-4_2

Ivanova, A.Pasechnyuk, D.Dvurechensky, P.Gasnikov, A.Vorontsova, E.:

Numerical methods for the resource allocation problem in networks. Computational Mathematics and Mathematical Physics 61(2), 312–345 (2021). DOI 10.1134/S0965542521020135 (Q2)

Stonyakin, F.Tyurin, A.Gasnikov, A.Dvurechensky, P.Agafonov, A.Dvinskikh, D.Alkousa, M.Pasechnyuk, D.Artamonov S.Piskunova, V.:

Inexact model: A framework for optimization and variational inequalities. Optimization Methods and Software, 1–47 (2021). DOI 10.1080/10556788.2021.1924714 (Q1)

2020

Ivanova, A.Stonyakin, F.Pasechnyuk, D.Vorontsova, E.Gasnikov, A.:

Adaptive Mirror Descent for the Network Utility Maximization Problem. IFAC-PapersOnLine 53(2), 7851–7856 (2020). DOI 10.1016/j.ifacol.2020.12.1958

2019

Pasechnyuk, D.Stonyakin, F.:

One method for minimization a convex Lipschitz-continuous function of two variables on a fixed square. Computer Research and Modeling 11(3), 379–395 (2019). DOI 10.20537/2076-7633-2019-11-3-379-395

Stonyakin, F.Dvinskikh, D.Dvurechensky, P.Kroshnin, A.Kuznetsova, O.Agafonov, A.Gasnikov, A.Tyurin, A.Uribe, C.Pasechnyuk, D.Artamonov, S.:

Gradient methods for problems with inexact model of the objective. International Conference on Mathematical Optimization Theory and Operations Research. Lecture Notes in Computer Science 11548, 97–114. Springer, Cham (2019). DOI 10.1007/978-3-030-22629-9_8

Pasechnyuk, D.:

Scheduling strategies for resource allocation in a cellular base station. Proceedings of MIPT, 11(2), 38–48 (2019). URL https://mipt.ru/upload/medialibrary/f16/4_trudy-mfti-_2_42_38_48.pdf


Preprints

Stonyakin, F.Titov, A.Alkousa, M.Savchuk, O.Pasechnyuk, D.:

Gradient-type adaptive methods for relatively Lipschitz convex optimization problems. (2021). URL https://arxiv.org/abs/2107.05765

Gladin, E.Kuruzov, I.Stonyakin, F.Pasechnyuk, D.Alkousa, M.Gasnikov, A.:

Solving strongly convex-concave composite saddle point problems with a small dimension of one of the variables. (2020). URL https://arxiv.org/abs/2010.02280

Stonyakin, F.Gasnikov, A.Tyurin, A.Pasechnyuk, D.Agafonov, A.Dvurechensky, P.Dvinskikh, D.Kroshnin, A.Piskunova, V.:

Inexact model: A framework for optimization and variational inequalities. (2019). URL https://arxiv.org/abs/1902.00990

Talks

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2021

Report "Solar" method: a two-level algorithm in a one-level optimization problem. Lyapunov reading, ISDCT SB RAS (2021). URL https://ris.icc.ru/publications/6158

Lecture Optimization in SE. JetBrains Research, ML4SE lab (2021). URL https://youtu.be/bzGWnhb8_-8

Reports Stochastic optimization for dynamic pricing, Network utility maximization by updating individual transmission rates and Adaptive catalyst for smooth convex optimization. International Conference Optimization and Applications (2021). URL http://agora.guru.ru/display.php

Reports Network utility maximization: optimization & protocols and Full-gradient based methods for modeling nonlinear systems in digital signal processing. Optimization without borders (2021). URL http://dmivilensky.ru/opt_without_borders/

Report On the Computational Efficiency of Catalyst Accelerated Coordinate Descent. International Conference Mathematical Optimization Theory and Operations Research (2021). URL https://easychair.org/smart-program/MOTOR2021/

2020

Report Universal Accelerated Proximal Envelopes. The 63rd MIPT Scientific Conference (2020). URL https://conf.mipt.ru//folders/attachment/2882/download

Report Accelerated Proximal Envelopes: Application to the Coordinate Descent Method. School Modern Methods of Information Theory, Optimization and Control, Sirius University (2020). URL https://sochisirius.ru/obuchenie/graduates/smena673/3259

2019

Poster On Inexactness for Yu.E. Nesterov Method for a Convex Minimization on a Fixed Square. Traditional School for Young Researchers Control, Information, Optimization (2019). URL https://ssopt.org/2019

Report On Inexactness for Yu.E. Nesterov Method for a Convex Minimization on a Fixed Square. Conference on graphs, networks, and their applications, MIPT (2019). URL http://ru.discrete-mathematics.org/conferences/201905/workshop_graphs/schedule_workshop_network_optimization.pdf

2018

Report Throughput maximization for flows with fine input structure. Workshop Optimization at Work, MIPT (2018). URL http://www.mathnet.ru/php/conference.phtml?eventID=1&confid=1259

2017

Report Index Strategies for Routing Base Station Traffic. The 60th MIPT Scientific Conference (2017). URL https://abitu.net/public/admin/mipt-conference/FPMI.pdf

Cartoon to attract attention


Teaching


Lectures in Optimization (1 year Sc.M.)

MIPT, assistant under Sc.D. Fedor Stonyakin

Project educational program (schoolchildren)

Sirius, mentor of project „Online-learning
for digital pre-distorter modelling“
report presentation, lecture materials

Popular science lectures (schoolchildren)

Sirius, online lecturer
lecture 1, lecture 2