 Consistent and Asymptotically Unbiased Estimation of Proper Calibration
ErrorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Information bottleneck theory of high-dimensional regression: relevancy,
efficiency and optimalityNeural Information Processing Systems (NeurIPS), 2022 |
 Learning to Accelerate Partial Differential Equations via Latent Global
EvolutionNeural Information Processing Systems (NeurIPS), 2022 |
 Perturbation Theory for the Information BottleneckNeural Information Processing Systems (NeurIPS), 2021 |
 A Provably Convergent Information Bottleneck Solution via ADMMInternational Symposium on Information Theory (ISIT), 2021 |
 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial
EstimationInternational Conference on Learning Representations (ICLR), 2021 |
 Dataset Dynamics via Gradient Flows in Probability SpaceInternational Conference on Machine Learning (ICML), 2020 David Alvarez-Melis Nicolò Fusi |
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