AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs

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Author / Producer

Abbati, Gabriele Wenk, Philippe Osborne, Michael A.

Date

2019

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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OPEN ACCESS

Downloads

Full text (accepted version) (PDF, 454.50 KB)

Data

Rights / License

In Copyright - Non-Commercial Use Permitted north_east

Permanent link

https://doi.org/10.3929/ethz-b-000385687

Publication status

published

External links

http://proceedings.mlr.press/v97/abbati19a.html north_east

Editor

Chaudhuri, Kamalika north_east Salakhutdinov, Ruslan north_east

Book title

Proceedings of the 36th International Conference on Machine Learning (ICML 2019)

Journal / series

Volume

97

Pages / Article No.

1 - 10

Publisher

PMLR

Event

36th International Conference on Machine Learning (ICML 2019)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

03908 - Krause, Andreas / Krause, Andreas check_circle
09664 - Schölkopf, Bernhard / Schölkopf, Bernhard check_circle

Notes

Conference lecture held on June 12, 2019

Funding

815943 - Reliable Data-Driven Decision Making in Cyber-Physical Systems (EC)

Related publications and datasets

Has part: https://slideslive.com/38917895/gaussian-processes

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