Header logo is ei

Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks

2019

Poster

ei


Author(s): von Kügelgen, J. and Rubenstein, P. and Schölkopf, B. and Weller, A.
Book Title: NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making
Year: 2019
Month: December

Department(s): Empirical Inference
Bibtex Type: Poster (poster)

Event Place: Vancouver, Canada
State: Accepted
URL: http://tripods.cis.cornell.edu/neurips19_causalml/

BibTex

@poster{KueRubSchWel19,
  title = {Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks},
  author = {von K{\"u}gelgen, J. and Rubenstein, P. and Sch{\"o}lkopf, B. and Weller, A.},
  booktitle = {NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making},
  month = dec,
  year = {2019},
  url = {http://tripods.cis.cornell.edu/neurips19_causalml/},
  month_numeric = {12}
}