AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs

Authors :: Abbati, Gabriele
Wenk, Philippe
Osborne, Michael A.
Krause, Andreas
Schölkopf, Bernhard
Bauer, Stefan
Chaudhuri, Kamalika
Salakhutdinov, Ruslan
Source :: Proceedings of Machine Learning Research, 97, Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
Publication Year :: 2019
Publisher :: arXiv, 2019.
Abstract: Proceedings of Machine Learning Research, 97<br />ISSN:2640-3498<br />Proceedings of the 36th International Conference on Machine Learning (ICML 2019)

Subjects :: FOS: Computer and information sciences
Computer Science - Machine Learning
Statistics - Machine Learning
FOS: Mathematics
Machine Learning (stat.ML)
Dynamical Systems (math.DS)
Mathematics - Dynamical Systems
Machine Learning (cs.LG)

ISSN :: 26403498
Database :: OpenAIRE
Journal :: Proceedings of Machine Learning Research, 97, Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
Accession number :: edsair.doi.dedup.....3afca473f36c9927fc2f9b89f0f41c9f
Full Text :: https://doi.org/10.48550/arxiv.1902.08480