Kuat Gazizov — accepted AI-conference papers

2025

A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity

Kuat Gazizov, Miguel Á. Carreira-Perpiñán

NeurIPS 2025poster

We consider the Tree Alternating Optimization (TAO) algorithm to train regression trees with linear predictors in the leaves. Unlike the traditional, greedy recursive partitioning algorithms such as CART, TAO guarantees a monotonic decrease of the objective function and results in smaller trees of m…

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2024

The tree autoencoder model, with application to hierarchical data visualization

Miguel Á. Carreira-Perpiñán, Kuat Gazizov

NeurIPS 2024poster

We propose a new model for dimensionality reduction, the PCA tree, which works like a regular autoencoder, having explicit projection and reconstruction mappings. The projection is effected by a sparse oblique tree, having hard, hyperplane splits using few features and linear leaves. The reconstruct…

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