140 citations · 401 across the 23 of their papers we have counts for
5 papers · 1 filter
Choice functions based multi-objective Bayesian optimisation
Alessio Benavoli, Dario Azzimonti, Dario Piga
In this work we introduce a new framework for multi-objective Bayesian optimisation where the multi-objective functions can only be accessed via choice judgements, such as ``I pick…
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
Umberto Michelucci, Michela Sperti, Dario Piga +2
This paper presents the intrinsic limit determination algorithm (ILD Algorithm), a novel technique to determine the best possible performance, measured in terms of the AUC (area un…
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration
Mengjia Zhu, Dario Piga, Alberto Bemporad
Preference-based global optimization algorithms minimize an unknown objective function only based on whether the function is better, worse, or similar for given pairs of candidate…
Deep learning with transfer functions: new applications in system identification
Dario Piga, Marco Forgione, Manas Mejari
This paper presents a linear dynamical operator described in terms of a rational transfer function, endowed with a well-defined and efficient back-propagation behavior for automati…
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes
Alessio Benavoli, Dario Azzimonti, Dario Piga
Skew-Gaussian processes (SkewGPs) extend the multivariate Unified Skew-Normal distributions over finite dimensional vectors to distribution over functions. SkewGPs are more general…