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20242026
most citedImputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning

2 citations · 4 across the 16 of their papers we have counts for

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eess.SP2024

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering

Yuki Akiyama, Minh Vu, Konstantinos Slavakis

This paper designs novel nonparametric Bellman mappings in reproducing kernel Hilbert spaces (RKHSs) for reinforcement learning (RL). The proposed mappings benefit from the rich ap…

eess.SP2024★ 1 cited

Multilinear Kernel Regression and Imputation via Manifold Learning

Duc Thien Nguyen, Konstantinos Slavakis

This paper introduces a novel nonparametric framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated…