Disentangling Observed Causal Effects from Latent Confounders using Method of Moments

17 January 2021

Papers citing "Disentangling Observed Causal Effects from Latent Confounders using Method of Moments"

6 / 6 papers shown

Title
Interventional Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash CML 35 10 0 12 Oct 2019
TensorLy: Tensor Learning in Python Jean Kossaifi Yannis Panagakis Anima Anandkumar Maja Pantic 54 355 0 29 Oct 2016
Guaranteed Scalable Learning of Latent Tree Models Furong Huang U. Niranjan Ioakeim Perros Robert Chen Jimeng Sun Anima Anandkumar 86 7 0 18 Jun 2014
ParceLiNGAM: A causal ordering method robust against latent confounders Tatsuya Tashiro Shohei Shimizu Aapo Hyvarinen Takashi Washio CML 52 66 0 29 Mar 2013
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 427 1,145 0 29 Oct 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 97 510 0 13 Jan 2011