Michele Caprio

According to our database, Michele Caprio authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

Credal Learning Theory.

Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin

CoRR, 2024

DC4L: Distribution shift recovery via data-driven control for deep learning models.

Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Second-Order Uncertainty Quantification: A Distance-Based Approach.

Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Novel Bayes' Theorem for Upper Probabilities.

Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee

Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023

Ergodic theorems for dynamic imprecise probability kinematics.

Michele Caprio, Sayan Mukherjee

Int. J. Approx. Reason., 2023

Distributionally Robust Statistical Verification with Imprecise Neural Networks.

Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee

CoRR, 2023

Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning.

Pengyuan Lu, Michele Caprio, Eric Eaton, Insup Lee

CoRR, 2023

Using Semantic Information for Defining and Detecting OOD Inputs.

Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee

CoRR, 2023

Take Me Home: Reversing Distribution Shifts using Reinforcement Learning.

Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee

CoRR, 2023

Imprecise Bayesian Neural Networks.

Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee

CoRR, 2023

Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks.

Michele Caprio, Sayan Mukherjee

IEEE Access, 2023

Is the volume of a credal set a good measure for epistemic uncertainty?

Yusuf Sale, Michele Caprio, Eyke Hüllermeier

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Constriction for sets of probabilities.

Michele Caprio, Teddy Seidenfeld

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

Dynamic precise and imprecise probability kinematics.

Michele Caprio, Ruobin Gong

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

2022

Refined Pinsker's and Reverse Pinsker's Inequalities for Probability Distributions of Different Dimensions.

Michele Caprio

IEEE Access, 2022