ICML 2024 "probabilistic models" Papers
4 papers found
A Rate-Distortion View of Uncertainty Quantification
Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen et al.
ICML 2024poster
Explaining Probabilistic Models with Distributional Values
Luca Franceschi, Michele Donini, Cedric Archambeau et al.
ICML 2024spotlight
On the Independence Assumption in Neurosymbolic Learning
Emile van Krieken, Pasquale Minervini, Edoardo Ponti et al.
ICML 2024poster
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob Gardner
ICML 2024poster