| 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 | 47 | 2017 |
| Meta-learning with stochastic linear bandits L Cella, A Lazaric, M Pontil International Conference on Machine Learning, 1360-1370, 2020 | 33 | 2020 |
| Stochastic bandits with delay-dependent payoffs L Cella, N Cesa-Bianchi International Conference on Artificial Intelligence and Statistics, 1168-1177, 2020 | 33 | 2020 |
| 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 | 17 | 2017 |
| Efficient linear bandits through matrix sketching I Kuzborskij, L Cella, N Cesa-Bianchi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 16 | 2019 |
| 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 | 5 | 2017 |
| Multi-Task and Meta-Learning with Sparse Linear Bandits L Cella, M Pontil The Conference on Uncertainty in Artificial Intelligence, 2021 | 4 | 2021 |
| Multi-task representation learning with stochastic linear bandits L Cella, K Lounici, M Pontil arXiv preprint arXiv:2202.10066, 2022 | 3 | 2022 |
| A supervised learning approach to swaption calibration L CELLA Italy, 2016 | 3 | 2016 |
| Efficient context-aware sequential recommender system L Cella Companion Proceedings of the The Web Conference 2018, 1391-1394, 2018 | 1 | 2018 |
| Group Meritocratic Fairness in Linear Contextual Bandits R Grazzi, A Akhavan, JIT Falk, L Cella, M Pontil arXiv preprint arXiv:2206.03150, 2022 | | 2022 |
| Meta Representation Learning with Contextual Linear Bandits L Cella, K Lounici, M Pontil arXiv preprint arXiv:2205.15100, 2022 | | 2022 |
| Best Model Identification: A Rested Bandit Formulation L Cella, M Pontil, C Gentile International Conference on Machine Learning, 1362-1372, 2021 | | 2021 |
| 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 |
| Multi-Task and Meta-Learning with Sparse Linear Bandits Supplementary material L Cella, M Pontil | | |
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonEmail verificata su iit.it
