Johan A.K. Suykens
11 papers · 2008–2025 · 2 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π Academic Marathon Β· Full πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
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Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(10)
Optimization & Theory
(6)
Mathematics & Optimization
(3)
Learning Types Β· Machine Learning
(3)
Deep Learning
(2)
Mathematics
(2)
Optimization
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
kernel regression
(3)
support vector machine
(3)
convergence rate
(2)
robust regression
(1)
binary classification
(1)
ensemble learning
(1)
non-convex optimization
(1)
dimension reduction
(1)
empirical risk minimization
(1)
predictive accuracy
(1)
support vector regression
(1)
reproducing kernel hilbert space
(1)
nonlinear regression
(1)
sparse regression
(1)
functional data analysis
(1)
nonparametric regression
(1)
piecewise linear
(1)
linear programming
(1)
ramp loss
(1)
kernel learning
(1)
Papers
Nonlinear functional regression by functional deep neural network with kernel embedding
JMLR 2025
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
AAAI 2024
Generalization Properties of hyper-RKHS and its Applications
JMLR 2021
A Statistical Learning Approach to Modal Regression
JMLR 2020
Sparse Kernel Regression with Coefficient-based β_q-regularization
JMLR 2019
Kernel Density Estimation for Dynamical Systems
JMLR 2018
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
JMLR 2015
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
JMLR 2014
Ramp Loss Linear Programming Support Vector Machine
JMLR 2014
Kernel Regression in the Presence of Correlated Errors
JMLR 2011
Model Selection in Kernel Based Regression using the Influence Function
JMLR 2008