Michele Caprio

45 papers A* 2A 2Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Conformal Prediction as a Decision Risk Problem. CoRR Fanyi Wu, Veronika Lohmanova, Samuel Kaski, Michele Caprio
2026	J	`jnl`	Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination. CoRR Mengqi Chen, Thomas B. Berrett, Theodoros Damoulas, Michele Caprio
2026	J	`jnl`	CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression. CoRR Luben M. C. Cabezas, Sabina J. Sloman, Bruno M. Resende, Fanyi Wu, Michele Caprio, Rafael Izbicki
2026	J	`jnl`	Quantification of Credal Uncertainty: A Distance-Based Approach. CoRR Xabier Gonzalez-Garcia, Siu Lun Chau, Julian Rodemann, Michele Caprio, Krikamol Muandet, Humberto Bustince, Sébastien Destercke, Eyke Hüllermeier, Yusuf Sale
2026	J	`jnl`	Quantifying Epistemic Predictive Uncertainty in Conformal Prediction. CoRR Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale, Michele Caprio
2026	J	`jnl`	Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features. CoRR Michele Caprio, Katerina Papagiannouli, Siu Lun Chau, Sayan Mukherjee
2026	J	`jnl`	Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification. Trans. Mach. Learn. Res. Julian Rodemann, Alexander Marquard, Thomas Augustin, Michele Caprio
2026	J	`jnl`	Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities. CoRR Anita Yang, Krikamol Muandet, Michele Caprio, Siu Lun Chau, Masaki Adachi
2025	J	`jnl`	Adaptive Conformal Prediction for Quantum Machine Learning. CoRR Douglas Spencer, Samual Nicholls, Michele Caprio
2025	J	`jnl`	Conformal Prediction Regions are Imprecise Highest Density Regions. CoRR Michele Caprio, Yusuf Sale, Eyke Hüllermeier
2025	—	`conf`	Conformal prediction regions are imprecise highest density regions. ISIPTA Michele Caprio, Yusuf Sale, Eyke Hüllermeier
2025	J	`jnl`	Conformalized Credal Regions for Classification with Ambiguous Ground Truth. Trans. Mach. Learn. Res. Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet
2025	J	`jnl`	Credal and Interval Deep Evidential Classifications. CoRR Michele Caprio, Shireen Kudukkil Manchingal, Fabio Cuzzolin
2025	—	`conf`	Distributionally Robust Statistical Verification with Imprecise Neural Networks. HSCC Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2025	J	`jnl`	Epistemic Errors of Imperfect Multitask Learners When Distributions Shift. CoRR Sabina J. Sloman, Michele Caprio, Samuel Kaski
2025	J	`jnl`	HumanoidVerse: A Versatile Humanoid for Vision-Language Guided Multi-Object Rearrangement. CoRR Haozhuo Zhang, Jingkai Sun, Michele Caprio, Jian Tang, Shanghang Zhang, Qiang Zhang, Wei Pan
2025	J	`jnl`	Integral Imprecise Probability Metrics. CoRR Siu Lun Chau, Michele Caprio, Krikamol Muandet
2025	—	`conf`	Optimal transport for ε-contaminated credal sets. ISIPTA Michele Caprio
2025	A	`conf`	TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion. IROS Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger
2025	J	`jnl`	TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion. CoRR Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger
2025	J	`jnl`	The Joys of Categorical Conformal Prediction. CoRR Michele Caprio
2025	J	`jnl`	When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates. CoRR Michele Caprio, Siu Lun Chau, Krikamol Muandet
2024	—	`conf`	A Novel Bayes' Theorem for Upper Probabilities. Epi UAI Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee
2024	J	`jnl`	Conformalized Credal Regions for Classification with Ambiguous Ground Truth. CoRR Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet
2024	J	`jnl`	Credal Bayesian Deep Learning. Trans. Mach. Learn. Res. Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2024	A*	`conf`	Credal Learning Theory. NeurIPS Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
2024	J	`jnl`	Credal Learning Theory. CoRR Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
2024	—	`conf`	DC4L: Distribution shift recovery via data-driven control for deep learning models. L4DC Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2024	J	`jnl`	Optimal Transport for ε-Contaminated Credal Sets. CoRR Michele Caprio
2024	A*	`conf`	Second-Order Uncertainty Quantification: A Distance-Based Approach. ICML Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier
2023	J	`jnl`	A Novel Bayes' Theorem for Upper Probabilities. CoRR Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee
2023	J	`jnl`	Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks. IEEE Access Michele Caprio, Sayan Mukherjee
2023	—	`conf`	Constriction for sets of probabilities. ISIPTA Michele Caprio, Teddy Seidenfeld
2023	J	`jnl`	Distributionally Robust Statistical Verification with Imprecise Neural Networks. CoRR Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2023	—	`conf`	Dynamic precise and imprecise probability kinematics. ISIPTA Michele Caprio, Ruobin Gong
2023	J	`jnl`	Ergodic theorems for dynamic imprecise probability kinematics. Int. J. Approx. Reason. Michele Caprio, Sayan Mukherjee
2023	J	`jnl`	Imprecise Bayesian Neural Networks. CoRR Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? CoRR Yusuf Sale, Michele Caprio, Eyke Hüllermeier
2023	A	`conf`	Is the volume of a credal set a good measure for epistemic uncertainty? UAI Yusuf Sale, Michele Caprio, Eyke Hüllermeier
2023	J	`jnl`	Second-Order Uncertainty Quantification: A Distance-Based Approach. CoRR Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier
2023	J	`jnl`	Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Using Semantic Information for Defining and Detecting OOD Inputs. CoRR Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning. CoRR Pengyuan Lu, Michele Caprio, Eric Eaton, Insup Lee
2022	J	`jnl`	Concentration inequalities and optimal number of layers for stochastic deep neural networks. CoRR Michele Caprio, Sayan Mukherjee
2022	J	`jnl`	Refined Pinsker's and Reverse Pinsker's Inequalities for Probability Distributions of Different Dimensions. IEEE Access Michele Caprio