Leonardo Cella

According to our database, Leonardo Cella authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Possibility-theoretic statistical inference offers performance and probativeness assurances.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., December, 2023

Finite sample valid probabilistic inference on quantile regression.

Leonardo Cella

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Multi-task Representation Learning with Stochastic Linear Bandits.

Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Direct and approximately valid probabilistic inference on a class of statistical functionals.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

Valid inferential models for prediction in supervised learning problems.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

Validity, consonant plausibility measures, and conformal prediction.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

Meta Representation Learning with Contextual Linear Bandits.

Leonardo Cella, Karim Lounici, Massimiliano Pontil

CoRR, 2022

Multi-task Representation Learning with Stochastic Linear Bandits.

Leonardo Cella, Karim Lounici, Massimiliano Pontil

CoRR, 2022

Group Meritocratic Fairness in Linear Contextual Bandits.

Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Valid Inferential Models Offer Performance and Probativeness Assurances.

Leonardo Cella, Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

Multi-task and meta-learning with sparse linear bandits.

Leonardo Cella, Massimiliano Pontil

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Best Model Identification: A Rested Bandit Formulation.

Leonardo Cella, Massimiliano Pontil, Claudio Gentile

Proceedings of the 38th International Conference on Machine Learning, 2021

Approximately Valid and Model-Free Possibilistic Inference.

Leonardo Cella, Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Online Model Selection: a Rested Bandit Formulation.

Leonardo Cella, Claudio Gentile, Massimiliano Pontil

CoRR, 2020

Meta-learning with Stochastic Linear Bandits.

Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Bandits with Delay-Dependent Payoffs.

Leonardo Cella, Nicolò Cesa-Bianchi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Incorporating Expert Opinion in an Inferential Model while Maintaining Validity.

Leonardo Cella, Ryan Martin

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Efficient Linear Bandits through Matrix Sketching.

Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Efficient Context-Aware Sequential Recommender System.

Leonardo Cella

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Deriving Item Features Relevance from Past User Interactions.

Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Modelling User Behaviors with Evolving Users and Catalogs of Evolving Items.

Leonardo Cella

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Exploring the Semantic Gap for Movie Recommendations.

Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Kernalized Collaborative Contextual Bandits.

Leonardo Cella, Romaric Gaudel, Paolo Cremonesi

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Estimate Features Relevance for Groups of Users.

Stefano Cereda, Leonardo Cella, Paolo Cremonesi

Proceedings of the 8th Italian Information Retrieval Workshop, 2017