Leonardo Cella

35 papers A* 3A 6Journal 13Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Computationally efficient variational-like approximations of possibilistic inferential models. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2025	—	`conf`	Distribution-free possibilistic inference on conditional quantities. ISIPTA Leonardo Cella
2024	J	`jnl`	Distribution-free Inferential Models: Achieving finite-sample valid probabilistic inference, with emphasis on quantile regression. Int. J. Approx. Reason. Leonardo Cella
2024	—	`conf`	Fusing Independent Inferential Models in a Black-Box Manner. BELIEF Leonardo Cella
2024	—	`conf`	Variational Approximations of Possibilistic Inferential Models. BELIEF Leonardo Cella, Ryan Martin
2023	—	`conf`	Finite sample valid probabilistic inference on quantile regression. ISIPTA Leonardo Cella
2023	A	`conf`	Multi-task Representation Learning with Stochastic Linear Bandits. AISTATS Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil
2023	J	`jnl`	Possibility-theoretic statistical inference offers performance and probativeness assurances. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	J	`jnl`	Direct and approximately valid probabilistic inference on a class of statistical functionals. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	A*	`conf`	Group Meritocratic Fairness in Linear Contextual Bandits. NeurIPS Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
2022	J	`jnl`	Group Meritocratic Fairness in Linear Contextual Bandits. CoRR Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
2022	J	`jnl`	Meta Representation Learning with Contextual Linear Bandits. CoRR Leonardo Cella, Karim Lounici, Massimiliano Pontil
2022	J	`jnl`	Multi-task Representation Learning with Stochastic Linear Bandits. CoRR Leonardo Cella, Karim Lounici, Massimiliano Pontil
2022	—	`conf`	Valid Inferential Models Offer Performance and Probativeness Assurances. BELIEF Leonardo Cella, Ryan Martin
2022	J	`jnl`	Valid inferential models for prediction in supervised learning problems. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	J	`jnl`	Validity, consonant plausibility measures, and conformal prediction. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2021	—	`conf`	Approximately Valid and Model-Free Possibilistic Inference. BELIEF Leonardo Cella, Ryan Martin
2021	A*	`conf`	Best Model Identification: A Rested Bandit Formulation. ICML Leonardo Cella, Massimiliano Pontil, Claudio Gentile
2021	—	`—`	Efficiency and Realism in stochastic Bandits. Leonardo Cella
2021	A	`conf`	Multi-task and meta-learning with sparse linear bandits. UAI Leonardo Cella, Massimiliano Pontil
2021	—	`conf`	Valid Inferential Models for Prediction in Supervised Learning Problems. ISIPTA Leonardo Cella, Ryan Martin
2020	A*	`conf`	Meta-learning with Stochastic Linear Bandits. ICML Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil
2020	J	`jnl`	Meta-learning with Stochastic Linear Bandits. CoRR Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil
2020	J	`jnl`	Online Model Selection: a Rested Bandit Formulation. CoRR Leonardo Cella, Claudio Gentile, Massimiliano Pontil
2020	A	`conf`	Stochastic Bandits with Delay-Dependent Payoffs. AISTATS Leonardo Cella, Nicolò Cesa-Bianchi
2019	A	`conf`	Efficient Linear Bandits through Matrix Sketching. AISTATS Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
2019	—	`conf`	Incorporating Expert Opinion in an Inferential Model while Maintaining Validity. ISIPTA Leonardo Cella, Ryan Martin
2019	J	`jnl`	Stochastic Bandits with Delay-Dependent Payoffs. CoRR Leonardo Cella, Nicolò Cesa-Bianchi
2018	—	`conf`	Efficient Context-Aware Sequential Recommender System. WWW (Companion Volume) Leonardo Cella
2018	J	`jnl`	Efficient Linear Bandits through Matrix Sketching. CoRR Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
2017	A	`conf`	Deriving Item Features Relevance from Past User Interactions. UMAP Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi
2017	—	`conf`	Estimate Features Relevance for Groups of Users. IIR Stefano Cereda, Leonardo Cella, Paolo Cremonesi
2017	A	`conf`	Exploring the Semantic Gap for Movie Recommendations. RecSys Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
2017	—	`conf`	Kernalized Collaborative Contextual Bandits. RecSys Posters Leonardo Cella, Romaric Gaudel, Paolo Cremonesi
2017	—	`conf`	Modelling User Behaviors with Evolving Users and Catalogs of Evolving Items. UMAP (Adjunct Publication) Leonardo Cella