On the Representer Theorem and Equivalent Degrees of Freedom of SVR. - Francesco Dinuzzo; Marta Neve; Giuseppe De Nicolao; Ugo Pietro Gianazza (J. Mach. Learn. Res., 2007)

Bayesian online multi-task learning using regularization networks. - Gianluigi Pillonetto; Francesco Dinuzzo; Giuseppe De Nicolao (ACC, 2008)

Client-server multi-task learning from distributed datasets - Francesco Dinuzzo; Gianluigi Pillonetto; Giuseppe De Nicolao (CoRR, 2008)

Sliding mode optimal regulator for a bolza-meyer criterion with non-quadratic state energy terms. - Michael V. Basin; Darío Calderon-Alvarez; Antonella Ferrara; Francesco Dinuzzo (ACC, 2009)

A second order sliding mode controller with polygonal constraints. - Francesco Dinuzzo (CDC, 2009)

Finite-time output stabilization with second order sliding modes. - Francesco Dinuzzo; Antonella Ferrara (Autom., 2009)

An algebraic characterization of the optimum of regularized kernel methods. - Francesco Dinuzzo; Giuseppe De Nicolao (Mach. Learn., 2009)

Higher Order Sliding Mode Controllers With Optimal Reaching. - Francesco Dinuzzo; Antonella Ferrara (IEEE Trans. Autom. Control., 2009)

Kernel machines with two layers and multiple kernel learning - Francesco Dinuzzo (CoRR, 2010)

Fixed-point and coordinate descent algorithms for regularized kernel methods - Francesco Dinuzzo (CoRR, 2010)

Bayesian Online Multitask Learning of Gaussian Processes. - Gianluigi Pillonetto; Francesco Dinuzzo; Giuseppe De Nicolao (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

On the discardability of data in support vector classification problems. - Simone Del Favero; Damiano Varagnolo; Francesco Dinuzzo; Luca Schenato 001; Gianluigi Pillonetto (CDC/ECC, 2011)

Learning Output Kernels with Block Coordinate Descent. - Francesco Dinuzzo; Cheng Soon Ong; Peter V. Gehler; Gianluigi Pillonetto (ICML, 2011)

Learning low-rank output kernels. - Francesco Dinuzzo; Kenji Fukumizu (ACML, 2011)

Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods. - Francesco Dinuzzo (IEEE Trans. Neural Networks, 2011)

Client-Server Multitask Learning From Distributed Datasets. - Francesco Dinuzzo; Gianluigi Pillonetto; Giuseppe De Nicolao (IEEE Trans. Neural Networks, 2011)

Interactive domain adaptation technique for the classification of remote sensing images. - Claudio Persello; Francesco Dinuzzo (IGARSS, 2012)

The representer theorem for Hilbert spaces: a necessary and sufficient condition. - Francesco Dinuzzo; Bernhard Schölkopf (NIPS, 2012)

Learning from Distributions via Support Measure Machines. - Krikamol Muandet; Kenji Fukumizu; Francesco Dinuzzo; Bernhard Schölkopf (NIPS, 2012)

Learning output kernels for multi-task problems. - Francesco Dinuzzo (Neurocomputing, 2013)

Finding Potential Support Vectors in Separable Classification Problems. - Damiano Varagnolo; Simone Del Favero; Francesco Dinuzzo; Luca Schenato 001; Gianluigi Pillonetto (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Unifying View of Representer Theorems. - Andreas Argyriou; Francesco Dinuzzo (ICML, 2014)

Kernel methods in system identification, machine learning and function estimation: A survey. - Gianluigi Pillonetto; Francesco Dinuzzo; Tianshi Chen 001; Giuseppe De Nicolao; Lennart Ljung (Autom., 2014)

Kernels for Linear Time Invariant System Identification. - Francesco Dinuzzo (SIAM J. Control. Optim., 2015)

Stance Classification of Context-Dependent Claims. - Roy Bar-Haim; Indrajit Bhattacharya; Francesco Dinuzzo; Amrita Saha; Noam Slonim (EACL (1), 2017)

Electricity Demand Forecasting by Multi-Task Learning. - Jean-Baptiste Fiot; Francesco Dinuzzo (IEEE Trans. Smart Grid, 2018)

Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse. - Garrett Wilson; Geoffrey Goh; Yan Jiang; Ajay Gupta; Jiaxuan Wang; David Freeman; Francesco Dinuzzo (CoRR, 2025)