Michele Caprio

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Learning Models

Robust Statistical

Probability Distribution

Top Venues

Publications

Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee
A Novel Bayes' Theorem for Upper Probabilities. Epi UAI (2024)
Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
Credal Learning Theory. CoRR (2024)
Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
DC4L: Distribution shift recovery via data-driven control for deep learning models. L4DC (2024)
Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee
A Novel Bayes' Theorem for Upper Probabilities. CoRR (2023)
Yusuf Sale, Michele Caprio, Eyke Hüllermeier
Is the volume of a credal set a good measure for epistemic uncertainty? UAI (2023)
Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
Imprecise Bayesian Neural Networks. CoRR (2023)
Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR (2023)
Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee
Using Semantic Information for Defining and Detecting OOD Inputs. CoRR (2023)
Michele Caprio, Sayan Mukherjee
Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks. IEEE Access 11 (2023)
Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier
Second-Order Uncertainty Quantification: A Distance-Based Approach. CoRR (2023)
Michele Caprio, Sayan Mukherjee
Ergodic theorems for dynamic imprecise probability kinematics. Int. J. Approx. Reason. 152 (2023)
Pengyuan Lu, Michele Caprio, Eric Eaton, Insup Lee
Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning. CoRR (2023)
Michele Caprio, Ruobin Gong
Dynamic precise and imprecise probability kinematics. ISIPTA (2023)
Michele Caprio, Teddy Seidenfeld
Constriction for sets of probabilities. ISIPTA (2023)
Yusuf Sale, Michele Caprio, Eyke Hüllermeier
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? CoRR (2023)
Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
Distributionally Robust Statistical Verification with Imprecise Neural Networks. CoRR (2023)
Michele Caprio, Sayan Mukherjee
Concentration inequalities and optimal number of layers for stochastic deep neural networks. CoRR (2022)
Michele Caprio
Refined Pinsker's and Reverse Pinsker's Inequalities for Probability Distributions of Different Dimensions. IEEE Access 10 (2022)