Oneto, Luca

9 publications

NeurIPS 2025 Training-Free Constrained Generation with Stable Diffusion Models Stefano Zampini, Jacob K Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto

NeurIPS 2025 TransferBench: Benchmarking Ensemble-Based Black-Box Transfer Attacks Fabio Brau, Maura Pintor, Antonio Emanuele Cinà, Raffaele Mura, Luca Scionis, Luca Oneto, Fabio Roli, Battista Biggio

NeurIPS 2020 Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil

NeurIPS 2020 Fair Regression via Plug-in Estimator and Recalibration with Statistical Guarantees Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

NeurIPS 2020 Fair Regression with Wasserstein Barycenters Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

NeurIPS 2019 Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

NeurIPS 2018 Empirical Risk Minimization Under Fairness Constraints Michele Donini, Luca Oneto, Shai Ben-David, John S Shawe-Taylor, Massimiliano Pontil

MLJ 2016 Tikhonov, Ivanov and Morozov Regularization for Support Vector Machine Learning Luca Oneto, Sandro Ridella, Davide Anguita

NeurIPS 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella