Assylbekov, Zhenisbek

9 publications

MLJ 2025 Gradient Descent Fails to Learn High-Frequency Functions and Modular Arithmetic Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov

ECML-PKDD 2025 Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm Zhenisbek Assylbekov, Alan Legg, Artur Pak

AAAI 2023 Hardness of Learning AES Key (Student Abstract) Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov

ACML 2023 Intractability of Learning the Discrete Logarithm with Gradient-Based Methods Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov

JAIR 2021 The Rediscovery Hypothesis: Language Models Need to Meet Linguistics Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov

AAAI 2020 A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract) Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov

IJCAI 2020 Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract) Zhenisbek Assylbekov, Rustem Takhanov

AAAI 2020 Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract) Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov

JAIR 2019 Context Vectors Are Reflections of Word Vectors in Half the Dimensions Zhenisbek Assylbekov, Rustem Takhanov