Michele Caprio
7 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core AI
(3)
Application Areas
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
credal set
(4)
epistemic uncertainty
(2)
probability distribution
(2)
predictive uncertainty
(2)
second-order uncertainty
(2)
wasserstein distance
(2)
domain adaptation
(1)
bayesian inference
(1)
statistical learning theory
(1)
uncertainty quantification
(1)
model robustness
(1)
interpretability
(1)
in-context learning
(1)
multi-class classification
(1)
distribution shift
(1)
risk bound
(1)
random feature
(1)
distribution variability
(1)
aleatoric uncertainty
(1)
integral probability metric
(1)
Papers
Quantification of Credal Uncertainty: A Distance-Based Approach
UAI 2026
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
UAI 2026
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
UAI 2026
Credal Learning Theory
NeurIPS 2024
DC4L: Distribution shift recovery via data-driven control for deep learning models
L4DC 2024
Second-Order Uncertainty Quantification: A Distance-Based Approach
ICML 2024
Is the volume of a credal set a good measure for epistemic uncertainty?
UAI 2023