Arman Bolatov - RankMe

15 papers A 1C 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Byzantine-Robust Optimization under (L CoRR Arman Bolatov, Samuel Horváth, Martin Takác, Eduard Gorbunov
2026	J	`jnl`	Deep Linear Discriminant Analysis Revisited. CoRR Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov, Zhenisbek Assylbekov
2026	J	`jnl`	Simplex Deep Linear Discriminant Analysis. CoRR Maxat Tezekbayev, Arman Bolatov, Zhenisbek Assylbekov
2026	J	`jnl`	Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers. CoRR Artem Riabinin, Andrey Veprikov, Arman Bolatov, Martin Takác, Aleksandr Beznosikov
2025	J	`jnl`	Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling. CoRR Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev
2025	J	`jnl`	Gradient descent fails to learn high-frequency functions and modular arithmetic. Mach. Learn. Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov
2025	J	`jnl`	Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications. CoRR Arman Bolatov, Alan Legg, Igor Melnykov, Amantay Nurlanuly, Maxat Tezekbayev, Zhenisbek Assylbekov
2025	J	`jnl`	Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods. CoRR Andrey Veprikov, Arman Bolatov, Samuel Horváth, Aleksandr Beznosikov, Martin Takác, Slavomír Hanzely
2023	J	`jnl`	A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract. CoRR Aknur Karabay, Arman Bolatov, Huseyin Atakan Varol, Mei-Yen Chan
2023	J	`jnl`	Empirical Analysis of the AdaBoost's Error Bound. CoRR Arman Bolatov, Kaisar Dauletbek
2023	J	`jnl`	Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic. CoRR Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov
2023	C	`conf`	Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. ACML Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
2023	J	`jnl`	Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. CoRR Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
2023	A	`conf`	Long-Tail Theory Under Gaussian Mixtures. ECAI Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov
2023	J	`jnl`	Long-Tail Theory under Gaussian Mixtures. CoRR Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov