Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data

Dominik Linzner, Michael Schmidt, Heinz Koeppl. Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 3741-3751, 2019. [doi]

Abstract

Abstract is missing.