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Konstantinos Slavakis

Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case

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Sep 26, 2025
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Nonconvex Regularization for Feature Selection in Reinforcement Learning

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Sep 19, 2025
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Online reinforcement learning via sparse Gaussian mixture model Q-functions

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Sep 18, 2025
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Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning

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Mar 20, 2025
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Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation

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Feb 25, 2025
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Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization

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Sep 10, 2024
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Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning

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Sep 08, 2024
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Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering

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Mar 29, 2024
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Multilinear Kernel Regression and Imputation via Manifold Learning

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Feb 06, 2024
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Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering

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Sep 14, 2023
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