Empirical Inference

AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs

2019

Conference Paper

ei


Author(s): Abbati*, G. and Wenk*, P. and Osborne, M. A. and Krause, A. and Schölkopf, B. and Bauer, S.
Book Title: Proceedings of the 36th International Conference on Machine Learning (ICML)
Volume: 97
Pages: 1--10
Year: 2019

Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan
Publisher: PMLR

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Place: Long Beach, California, USA

Note: *equal contribution
State: Published
URL: http://proceedings.mlr.press/v97/abbati19a.html

Links: PDF

BibTex

@conference{Abbatietal19,
  title = {{AR}e{S} and {M}a{RS} Adversarial and {MMD}-Minimizing Regression for {SDE}s},
  author = {Abbati*, G. and Wenk*, P. and Osborne, M. A. and Krause, A. and Sch{\"o}lkopf, B. and Bauer, S.},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
  volume = {97},
  pages = {1--10},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  publisher = {PMLR},
  year = {2019},
  note = {*equal contribution},
  doi = {},
  url = {http://proceedings.mlr.press/v97/abbati19a.html}
}