| Online clustering of bandits C Gentile, S Li, G Zappella International conference on machine learning, 757-765, 2014 | 336 | 2014 |
| A gang of bandits N Cesa-Bianchi, C Gentile, G Zappella Advances in neural information processing systems 26, 2013 | 192 | 2013 |
| On context-dependent clustering of bandits C Gentile, S Li, P Kar, A Karatzoglou, G Zappella, E Etrue International Conference on machine learning, 1253-1262, 2017 | 169 | 2017 |
| Linear bandits with stochastic delayed feedback C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner International Conference on Machine Learning, 9712-9721, 2020 | 94* | 2020 |
| Active learning on trees and graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella MIT Press, 2010 | 71 | 2010 |
| Random spanning trees and the prediction ofweighted graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella The Journal of Machine Learning Research 14 (1), 1251-1284, 2013 | 65 | 2013 |
| Memory efficient continual learning with transformers B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Advances in Neural Information Processing Systems 35, 10629-10642, 2022 | 57 | 2022 |
| Modelling political disaffection from Twitter data C Monti, A Rozza, G Zappella, M Zignani, A Arvidsson, E Colleoni Proceedings of the second international workshop on issues of sentiment …, 2013 | 54 | 2013 |
| A correlation clustering approach to link classification in signed networks N Cesa-Bianchi, C Gentile, F Vitale, G Zappella Conference on Learning Theory, 34.1-34.20, 2012 | 50 | 2012 |
| See the tree through the lines: The shazoo algorithm F Vitale, N Cesa-Bianchi, C Gentile, G Zappella Advances in Neural Information Processing Systems 24, 2011 | 30 | 2011 |
| PASHA: Efficient HPO and NAS with progressive resource allocation O Bohdal, L Balles, M Wistuba, B Ermis, C Archambeau, G Zappella arXiv preprint arXiv:2207.06940, 2022 | 22 | 2022 |
| Learning to rank in the position based model with bandit feedback B Ermis, P Ernst, Y Stein, G Zappella Proceedings of the 29th ACM International Conference on Information …, 2020 | 22 | 2020 |
| Continual learning with transformers for image classification B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| A Linear Time Active Learning Algorithm for Link Classification--Full Version-- N Cesa-Bianchi, C Gentile, F Vitale, G Zappella arXiv preprint arXiv:1301.4767, 2013 | 15* | 2013 |
| Choice of peft technique in continual learning: Prompt tuning is not all you need M Wistuba, PT Sivaprasad, L Balles, G Zappella arXiv preprint arXiv:2406.03216, 2024 | 14* | 2024 |
| Personalizing natural language understanding using multi-armed bandits and implicit feedback F Moerchen, P Ernst, G Zappella Proceedings of the 29th ACM international conference on information …, 2020 | 11 | 2020 |
| A linear bandit for seasonal environments G Di Benedetto, V Bellini, G Zappella arXiv preprint arXiv:2004.13576, 2020 | 11 | 2020 |
| Optimized selection and delivery of content G Zappella, CPCJG Archambeau US Patent 10,242,381, 2019 | 11 | 2019 |
| Data mining system for assessing pairwise item similarity G Zappella US Patent 10,162,868, 2018 | 11 | 2018 |
| Active learning on graphs via spanning trees N Cesa-Bianchi, C Gentile, F Vitale, G Zappella NIPS Workshop on Networks Across Disciplines, 1-27, 2010 | 11 | 2010 |
Claudio GentileGoogle Research, New York, USA在 google.com 的电子邮件经过验证