Traffic control optimization using framework sumo-atclib
Viktor Kazorin, Yaroslav Kholodov
Near-Optimal Algorithm with Complexity Separation for Strongly Convex-Strongly Concave Composite Saddle Point Problems
Ekaterina Borodich, Georgiy Kormakov, Dmitry Kovalev, Aleksandr Beznosikov, Alexander Gasnikov
FRanDI: Data-Free Neural Network Compression via Feature Regression and Deep Inversion
Konstantin Sobolev, Dmitry Ermilov, Nikolay Kozyrskiy, ANH-HUY PHAN
Solving nonsmooth decentralized optimization with affine constraints using gradient sliding
Jiawei Chen, Zhenzhen Song, Alexander Rogozin, Nhat Trung Nguyen, Irina Podlipnova, Demyan Yarmoshik, Alexander Gasnikov
Robust GAN inversion
Egor Sevriugov, Ivan Oseledets
Unsupervised evaluation of GAN sample: Introducing the TTJac Score
Egor Sevriugov, Ivan Oseledets
On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
Ilya Kuruzov, Fefor S. Stonyakin
Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
Gleb Ryzhakov, Svetlana Pavlova, Egor Sevriugov, Ivan Oseledets
Three different views on barrier functions in conic optimization
Improved Iteration Complexity in Black-Box Optimization Problems under Higher Order Smoothness Function Condition
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
Ilya Levin, Denis Belomestny, Alexey Naumov, Sergey Samsonov
The Primal-Dual Learning Augmented Algorithm for Parking Permit Problem with Three Permit Types
Kharchenko Yaroslav, A.V. Kononov
Error analysis of numerical methods for optimization problems
Alexey Chernov, Anna Lisachenko, Julia Chernova
Multi-Agent Local Voting Protocol For Online DAG Scheduling
Nickolay Zhitnukhin, Anastasiia Zhadan, Ivan Kondratov, Alexander Allakhverdyan, Ovanes Petrosian, Aleksei Romanovskii, Vitaliy Kharin
New Aspects of Black Box Conditional Gradient: Variance Reduction and One Point Feedback
Andrey Veprikov, Alexander Bogdanov, Vladislav Mikhailovich Minashkin, Aleksandr Beznosikov
An Out-of-Shelf Multi-Level Monte Carlo Approach for Average-Reward Reinforcement Learning
Alexander Chernyavskiy, Andrey Veprikov, Vladimir Solodkin, Aleksandr Beznosikov, Aleksandr Panov
Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Perfomance
Nikolay Kutuzov, Alexander Gasnikov, Makar Baderko, Mark Obozov, Kulibaba Stepan
Finetuning Large Language Models for Vulnerability Detection
Aleksei Shestov, Rodion Levichev, Ravil Mussabayev, Eugene Maslov, Anton Cheshkov, Pavel Zadorozhny
An Optimal Transport Perspective on Unpaired Image Super-Resolution
Milena Gazdieva, Petr Mokrov, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
Solving traveling salesman problem via clustering and new algorithm for merging tours
Nikita Shushko, Egor Barashov, Simon Krassotkin
Memory-Efficient Backpropagation through Large Linear Layers
Daniel Bershatsky, Aleksandr Mikhalev, Aleksandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan Oseledets
Neural Networks for Structured Grid Generation
Bari Khairullin, Rishat Zagidullin, Sergey Rykovanov
Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning
Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Olga Tsymboi, Ivan Oseledets
Last mile routing for LTL shipments
Mikhail Gladkikh, Anna Melnik, Nelli Korotkova
Decentralized Proximal Gradient Method for Non-convex Composite problems with Inexact Gradient
Ilya Kuruzov, Fefor S. Stonyakin
Enhancing Robotic Manipulation Through Fully Integrated Quantum Annealing: The FIQA-RM System
Hadi Salloum, Ali Jnadi, Artem Matevosian, Sofia Gamershmidt, Karam Almaghout
Quantum Computing in Drug Discovery: A Review of Quantum Annealing and Gate-Based Approaches
Hadi Salloum, Ruslan Lukin, Manuel Mazzara
Three-Point Method with Zero-Order Oracle that Inexactly and Randomly Compares Function Values
Svetlana Tkachenko, Artem Andreev, Aleksandr Beznosikov
Dynamic system reconstruction from multivariate time series via multilinear map and time delay emmbedding
Accelerated Methods with Compression for Horizontal and Vertical Federated Learning
Karimullin Timur Rustemovich, Stanko Sergey, Aleksandr Beznosikov, Alexander Gasnikov
Adversarial Robustness through Wide Local Minima: A Simple Training Technique
Anton S. Khritankov, Andrey Veprikov, Sergey Smirnov
Zeroth-order methods for non-smooth stochastic problems under heavy-tailed noise
Nail Bashirov, Alexander Gasnikov, Aleksandr Lobanov
Bregman Proximal Method for Efficient Communications under Similarity
Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Bylinkin, Andrei Semenov, Alexander Gasnikov
On Scaled Methods for Saddle Point Problems
Aleksandr Beznosikov, Aibek Alanov, Martin Takáč, Alexander Gasnikov
Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
Daniil Medyakov, Gleb Molodtsov, Evseev Grigoriy, Egor Petrov, Aleksandr Beznosikov
Optimal Approximation of Average Reward Markov Decision Processes
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search
Georgii Sergeevich Novikov, Alexander Gneushev, Alexey Kadeishvili, Ivan Oseledets
Two Factors Update for Canonical Polyadic Decomposition
Anastasia Sozykina, Valentin Leplat, Igor Vorona, Salman Ahmadi-Asl, ANH-HUY PHAN
Provably high degree polynomial representation learning with neural networks
Methods for solving variational inequalities with Markovian stochasticity
Vladimir Solodkin, Michael Ermoshin, Roman Gavrilenko, Aleksandr Beznosikov
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova, Olga Tsymboi, Ivan Oseledets
Algorithm for the Optimal Trajectory of Objects Monitoring
Tatiana Makarovskikh, Mohamed Elsayed Sallam
The new is the well-forgotten old - F4 algorithm optimization
CBILR: Camera Bi-directional LiDAR-Radar Fusion for Robust Perception in Autonomous Driving