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ORCIDMichele Caprio
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2020 – today
- 2024
[c6]Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee:
A Novel Bayes' Theorem for Upper Probabilities. Epi UAI 2024: 1-12- [c5]Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier:
Second-Order Uncertainty Quantification: A Distance-Based Approach. ICML 2024 - [c4]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: 1526-1538 - [i12]Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin:
Credal Learning Theory. CoRR abs/2402.00957 (2024) - [i11]Michele Caprio:
Optimal Transport for ε-Contaminated Credal Sets. CoRR abs/2410.03267 (2024) - [i10]Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet:
Conformalized Credal Regions for Classification with Ambiguous Ground Truth. CoRR abs/2411.04852 (2024) - 2023
- [j3]Michele Caprio
, Sayan Mukherjee:
Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks. IEEE Access 11: 38458-38470 (2023) - [j2]Michele Caprio, Sayan Mukherjee:
Ergodic theorems for dynamic imprecise probability kinematics. Int. J. Approx. Reason. 152: 325-343 (2023) - [c3]Michele Caprio, Ruobin Gong:
Dynamic precise and imprecise probability kinematics. ISIPTA 2023: 72-83 - [c2]Michele Caprio, Teddy Seidenfeld:
Constriction for sets of probabilities. ISIPTA 2023: 84-95 - [c1]Yusuf Sale, Michele Caprio, Eyke Hüllermeier:
Is the volume of a credal set a good measure for epistemic uncertainty? UAI 2023: 1795-1804 - [i9]Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee:
Imprecise Bayesian Neural Networks. CoRR abs/2302.09656 (2023) - [i8]Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee:
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR abs/2302.10341 (2023) - [i7]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 abs/2302.11019 (2023) - [i6]Pengyuan Lu, Michele Caprio, Eric Eaton, Insup Lee:
Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning. CoRR abs/2305.14782 (2023) - [i5]Yusuf Sale, Michele Caprio, Eyke Hüllermeier:
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? CoRR abs/2306.09586 (2023) - [i4]Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee:
A Novel Bayes' Theorem for Upper Probabilities. CoRR abs/2307.06831 (2023) - [i3]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 abs/2308.14815 (2023) - [i2]Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier:
Second-Order Uncertainty Quantification: A Distance-Based Approach. CoRR abs/2312.00995 (2023) - 2022
- [j1]Michele Caprio:
Refined Pinsker's and Reverse Pinsker's Inequalities for Probability Distributions of Different Dimensions. IEEE Access 10: 116425-116431 (2022) - [i1]Michele Caprio, Sayan Mukherjee:
Concentration inequalities and optimal number of layers for stochastic deep neural networks. CoRR abs/2206.11241 (2022)
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