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Cause-Effect Deep Information Bottleneck For Systematically Missing
  Covariates
v1v2v3 (latest)

Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates

6 July 2018
S. Parbhoo
Mario Wieser
Aleksander Wieczorek
Volker Roth
    CML
ArXiv (abs)PDFHTML

Papers citing "Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates"

2 / 2 papers shown
Title
Learning Continuous Treatment Policy and Bipartite Embeddings for
  Matching with Heterogeneous Causal Effects
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
Will Y. Zou
S. Shyam
Michael Mui
Mingshi Wang
Jan Pedersen
Zoubin Ghahramani
CML
39
2
0
21 Apr 2020
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
85
133
0
07 Sep 2018
1