Empirical Inference
Conference Paper
2020
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming
arXiv
Empirical Inference
| Author(s): | Zhu, J.-J. and Muandet, K. and Diehl, M. and Schölkopf, B. |
| Links: | |
| Book Title: | 21st IFAC World Congress |
| Volume: | 53 |
| Number (issue): | 2 |
| Pages: | 7240-7247 |
| Year: | 2020 |
| Month: | July |
| Project(s): | |
| Bibtex Type: | Conference Paper (conference) |
| DOI: | 10.1016/j.ifacol.2020.12.557 |
| Event Place: | Berlin, Germany |
| State: | Published |
| Electronic Archiving: | grant_archive |
BibTex
@conference{ZhuMuaDieSch20,
title = {A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming},
booktitle = {21st IFAC World Congress},
volume = {53},
number = {2},
pages = {7240-7247},
month = jul,
year = {2020},
slug = {zhumuadiesch20},
author = {Zhu, J.-J. and Muandet, K. and Diehl, M. and Sch{\"o}lkopf, B.},
month_numeric = {7}
}