| Meta-learning with stochastic linear bandits L Cella, A Lazaric, M Pontil International Conference on Machine Learning, 1360-1370, 2020 | 73 | 2020 |
| Exploring the semantic gap for movie recommendations M Elahi, Y Deldjoo, F Bakhshandegan Moghaddam, L Cella, S Cereda, ... Proceedings of the eleventh acm conference on recommender systems, 326-330, 2017 | 61 | 2017 |
| Stochastic bandits with delay-dependent payoffs L Cella, N Cesa-Bianchi International Conference on Artificial Intelligence and Statistics, 1168-1177, 2020 | 54 | 2020 |
| Multi-task representation learning with stochastic linear bandits L Cella, K Lounici, G Pacreau, M Pontil International Conference on Artificial Intelligence and Statistics, 4822-4847, 2023 | 27 | 2023 |
| Content-based approaches for cold-start job recommendations M Bianchi, F Cesaro, F Ciceri, M Dagrada, A Gasparin, D Grattarola, ... Proceedings of the Recommender Systems Challenge 2017, 1-5, 2017 | 25 | 2017 |
| Efficient linear bandits through matrix sketching I Kuzborskij, L Cella, N Cesa-Bianchi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 22 | 2019 |
| Multi-Task and Meta-Learning with Sparse Linear Bandits L Cella, M Pontil The Conference on Uncertainty in Artificial Intelligence, 2021 | 20 | 2021 |
| Best model identification: A rested bandit formulation L Cella, M Pontil, C Gentile International Conference on Machine Learning, 1362-1372, 2021 | 14 | 2021 |
| Group meritocratic fairness in linear contextual bandits R Grazzi, A Akhavan, JIF Falk, L Cella, M Pontil Advances in Neural Information Processing Systems 35, 24392-24404, 2022 | 13 | 2022 |
| Deriving item features relevance from past user interactions L Cella, S Cereda, M Quadrana, P Cremonesi Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 13 | 2017 |
| Modelling user behaviors with evolving users and catalogs of evolving items L Cella Adjunct Publication of the 25th Conference on User Modeling, Adaptation and …, 2017 | 8 | 2017 |
| Meta representation learning with contextual linear bandits L Cella, K Lounici, M Pontil arXiv preprint arXiv:2205.15100, 2022 | 6 | 2022 |
| A supervised learning approach to swaption calibration L CELLA Politecnico di Milano, 2015 | 3 | 2015 |
| Efficient context-aware sequential recommender system L Cella Companion Proceedings of the The Web Conference 2018, 1391-1394, 2018 | 2 | 2018 |
| Efficiency and Realism in Stochastic Bandits L Cella Università degli Studi di Milano, 2021 | | 2021 |
| Estimate features relevance for groups of users S Cereda, L Cella, P Cremonesi IIR 2017 - 8th Italian Information Retrieval Workshop, 80-83, 2017 | | 2017 |
| Kernalized Collaborative Contextual Bandits. L Cella, R Gaudel, P Cremonesi RecSys Posters, 2017 | | 2017 |
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonEmail confirmado em iit.it
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoEmail confirmado em polimi.it
Stefano CeredaPolitecnico di MilanoEmail confirmado em polimi.it
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail confirmado em unimi.it
Karim LouniciStatistics Professor, Ecole PolytechniqueEmail confirmado em polytechnique.eduAlessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchEmail confirmado em inria.fr
Ilja KuzborskijGoogle DeepMindEmail confirmado em google.com
Claudio GentileGoogle Research, New York, USAEmail confirmado em google.com
Massimo QuadranaAppleEmail confirmado em apple.com
Riccardo GrazziMicrosoft ResearchEmail confirmado em microsoft.com
Isak FalkUniversity College London, Istituto Italiano di TecnologiaEmail confirmado em isakfalk.com
Arya AkhavanUniversity of OxfordEmail confirmado em stats.ox.ac.uk
Romaric GaudelAssistant professor, Computer Science & Electronic dept. of Univ-Rennes, member of IRISA/InriaEmail confirmado em irisa.fr
