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February 12, 2024
Multilinear Kernel Regression and Imputation via Manifold Learning
Duc Thien Nguyen and Konstantinos Slavakis
April 01, 2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adap...
Yuki Akiyama, Minh Vu, Konstantinos Slavakis, et al.
September 10, 2024
IMPUTATION OF TIME-VARYING EDGE FLOWS IN GRAPHS BY MULTILINEAR KERNEL REGRESSION AND...
Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados, et al.
September 14, 2023
PROXIMAL BELLMAN MAPPINGS FOR REINFORCEMENT LEARNING AND THEIR APPLICATION TO ROBUST...
Yuki Akiyama and Konstantinos Slavakis
April 07, 2023
Multi-Linear Kernel Regression and Imputation in Data Manifolds
Duc Thien Nguyen and Konstantinos Slavakis
October 26, 2022
DYNAMIC SELECTION OF P-NORM IN LINEAR ADAPTIVE FILTERING VIA ONLINE KERNEL-BASED REIN...
Minh Vu , Yuki Akiyama , Konstantinos Slavakis , et al.
October 26, 2022
ONLINE AND LIGHTWEIGHT KERNEL-BASED APPROXIMATE POLICY ITERATION FOR DYNAMIC P-NORM L...
Yuki Akiyama , Minh Vu , Konstantinos Slavakis , et al.
October 05, 2021
Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Cas...
Konstantinos Slavakis , Gaurav Shetty , Loris Cannelli , et al.
February 08, 2021
ONLINE CLASSIFICATION OF DYNAMIC MULTILAYER-NETWORK TIME SERIES IN RIEMANNIAN MANIFOL...
Cong Ye , Konstantinos Slavakis , Johan Nakuci , et al.
February 08, 2021
OUTLIER-ROBUST KERNEL HIERARCHICAL-OPTIMIZATION RLS ON A BUDGET WITH AFFINE CONSTRAIN...
Konstantinos Slavakis and Masahiro Yukawa
July 28, 2020
Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annota...
Cong Ye , Konstantinos Slavakis , Johan Nakuci , et al.