Konstantinos Slavakis

2 papers indexed

arxivstat.MLcs.LGeess.SP2026-07-19

Kernel Regression with Tensor Trains and Hadamard Overparameterization

Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis, Dimitris Pados

Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way data imputation. The imputation problem is reformulated as regression in reproducing kernel Hilbert spa…

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arxivcs.LG2026-07-06

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions

Kyohei Suzuki, Konstantinos Slavakis

This work delivers two key contributions: one to efficient feature selection in reinforcement learning (RL), the other to the theory of non-monotone inclusions. On the RL side, the estimation bias inherent in conventional regularization schemes is addressed by augmenting classica…

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