Maxat Tezekbayev

18 papers A* 1A 1B 1C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
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
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
2023	J	`jnl`	Autoencoders for a manifold learning problem with a Jacobian rank constraint. CoRR Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
2023	J	`jnl`	Autoencoders for a manifold learning problem with a jacobian rank constraint. Pattern Recognit. Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
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
2022	—	`conf`	Speeding Up Entmax. NAACL-HLT (Findings) Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
2021	B	`conf`	Geometric Probing of Word Vectors. ESANN Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov
2021	J	`jnl`	Speeding Up Entmax. CoRR Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
2021	J	`jnl`	The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. CoRR Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov
2021	J	`jnl`	The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. J. Artif. Intell. Res. Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov
2020	A*	`conf`	Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
2019	J	`jnl`	Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov