De Brabanter, Kris

4 publications

JMLR 2020 Smoothed Nonparametric Derivative Estimation Using Weighted Difference Quotients Yu Liu, Kris De Brabanter

NeurIPS 2018 Derivative Estimation in Random Design Yu Liu, Kris De Brabanter

JMLR 2011 Kernel Regression in the Presence of Correlated Errors Kris De Brabanter, Jos De Brabanter, Johan A.K. Suykens, Bart De Moor

MLJ 2011 Sparse Conjugate Directions Pursuit with Application to Fixed-Size Kernel Models Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens