1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ML2026
Deep Linear Discriminant Analysis Revisited
Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov +1
We show that for unconstrained Deep Linear Discriminant Analysis (LDA) classifiers, maximum-likelihood training admits pathological solutions in which class means drift together, c…
stat.ML2025
Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications
Arman Bolatov, Alan Legg, Igor Melnykov +3
This study explores the classification error of Mixture Discriminant Analysis (MDA) in scenarios where the number of mixture components exceeds those present in the actual data dis…
cs.CL2019★ 1 cited
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings
Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
We show that the skip-gram embedding of any word can be decomposed into two subvectors which roughly correspond to semantic and syntactic roles of the word.