Követés
Michele Donini
Michele Donini
Helsing
E-mail megerősítve itt: helsing.ai - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in neural information processing systems 31, 2018
5532018
Forward and reverse gradient-based hyperparameter optimization
L Franceschi, M Donini, P Frasconi, M Pontil
International conference on machine learning, 1165-1173, 2017
5342017
EasyMKL: a scalable multiple kernel learning algorithm
F Aiolli, M Donini
Neurocomputing 169, 215-224, 2015
2022015
Fair bayesian optimization
V Perrone, M Donini, MB Zafar, R Schmucker, K Kenthapadi, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 854-863, 2021
922021
Taking advantage of multitask learning for fair classification
L Oneto, M Doninini, A Elders, M Pontil
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 227-237, 2019
852019
Exploiting mmd and sinkhorn divergences for fair and transferable representation learning
L Oneto, M Donini, G Luise, C Ciliberto, A Maurer, M Pontil
Advances in Neural Information Processing Systems 33, 15360-15370, 2020
632020
Amazon sagemaker clarify: Machine learning bias detection and explainability in the cloud
M Hardt, X Chen, X Cheng, M Donini, J Gelman, S Gollaprolu, J He, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
562021
General fair empirical risk minimization
L Oneto, M Donini, M Pontil
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
562020
Amazon sagemaker model monitor: A system for real-time insights into deployed machine learning models
D Nigenda, Z Karnin, MB Zafar, R Ramesha, A Tan, M Donini, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
482022
Fairness measures for machine learning in finance
S Das, M Donini, J Gelman, K Haas, M Hardt, J Katzman, K Kenthapadi, ...
402021
Learning deep kernels in the space of dot product polynomials
M Donini, F Aiolli
Machine Learning 106, 1245-1269, 2017
392017
Amazon sagemaker automatic model tuning: Scalable gradient-free optimization
V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
37*2021
Deep fair models for complex data: Graphs labeling and explainable face recognition
D Franco, N Navarin, M Donini, D Anguita, L Oneto
Neurocomputing 470, 318-334, 2022
352022
Stairstep recognition and counting in a serious Game for increasing users’ physical activity
M Ciman, M Donini, O Gaggi, F Aiolli
Personal and Ubiquitous Computing 20, 1015-1033, 2016
312016
Learning fair and transferable representations with theoretical guarantees
L Oneto, M Donini, M Pontil, A Maurer
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
302020
Voting with random classifiers (VORACE): theoretical and experimental analysis
C Cornelio, M Donini, A Loreggia, MS Pini, F Rossi
Autonomous Agents and Multi-Agent Systems 35 (2), 22, 2021
292021
Multiple graph-kernel learning
F Aiolli, M Donini, N Navarin, A Sperduti
2015 IEEE Symposium Series on Computational Intelligence, 1607-1614, 2015
292015
Multi-objective multi-fidelity hyperparameter optimization with application to fairness
R Schmucker, M Donini, V Perrone, C Archambeau
282020
Scuba: scalable kernel-based gene prioritization
G Zampieri, DV Tran, M Donini, N Navarin, F Aiolli, A Sperduti, G Valle
BMC bioinformatics 19, 1-12, 2018
262018
Multi-objective asynchronous successive halving
R Schmucker, M Donini, MB Zafar, D Salinas, C Archambeau
arXiv preprint arXiv:2106.12639, 2021
252021
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