all AI news
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Feb. 5, 2024, 3:44 p.m. | Luis A. Ortega Sim\'on Rodr\'iguez Santana Daniel Hern\'andez-Lobato
cs.LG updates on arXiv.org arxiv.org
application approximation bayesian bayesian deep learning computational costs cs.lg deep learning dnn laplace approximation networks neural networks parameters predictions stat.ml training uncertainty
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Robotics Technician - 3rd Shift
@ GXO Logistics | Perris, CA, US, 92571