Arman Bolatov

According to our database, Arman Bolatov authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LionMuon: Alternating Spectral and Sign Descent for Efficient Training.

Arman Bolatov, Artem Riabinin, Nikita Kornilov, Andrey Veprikov, Samuel Horváth, Martin Takác, Aleksandr Beznosikov

CoRR, May, 2026

Byzantine-Robust Optimization under (L₀, L₁)-Smoothness.

Arman Bolatov, Samuel Horváth, Martin Takác, Eduard Gorbunov

CoRR, March, 2026

Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers.

Artem Riabinin, Andrey Veprikov, Arman Bolatov, Martin Takác, Aleksandr Beznosikov

CoRR, February, 2026

Simplex Deep Linear Discriminant Analysis.

Maxat Tezekbayev, Arman Bolatov, Zhenisbek Assylbekov

CoRR, January, 2026

Deep Linear Discriminant Analysis Revisited.

Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov, Zhenisbek Assylbekov

CoRR, January, 2026

2025

Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications.

Arman Bolatov, Alan Legg, Igor Melnykov, Amantay Nurlanuly, Maxat Tezekbayev, Zhenisbek Assylbekov

CoRR, October, 2025

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods.

Andrey Veprikov, Arman Bolatov, Samuel Horváth, Aleksandr Beznosikov, Martin Takác, Slavomír Hanzely

CoRR, October, 2025

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling.

Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev

CoRR, August, 2025

Gradient descent fails to learn high-frequency functions and modular arithmetic.

Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov

Mach. Learn., April, 2025

2023

A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract.

Aknur Karabay, Arman Bolatov, Huseyin Atakan Varol, Mei-Yen Chan

CoRR, 2023

Empirical Analysis of the AdaBoost's Error Bound.

Arman Bolatov, Kaisar Dauletbek

CoRR, 2023

Long-Tail Theory Under Gaussian Mixtures.

Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods.

Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov

Proceedings of the Asian Conference on Machine Learning, 2023