[edit]

Volume 127: Proceedings of the 2020 KDD Workshop on Causal Discovery, 24 August 2020, San Diego, CA, USA

[edit]

Editors: Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kıcıman, Peng Cui, Aapo Hyvärinen

[bib][citeproc]

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery

Thuc Duy Le,  Lin Liu,  Kun Zhang,  Emre Kıcıman,  Peng Cui,  Aapo Hyvärinen ; PMLR 127:1-3

Continuous Treatment Effect Estimation via Generative Adversarial De-confounding

Yunzhe Li,  Kun Kuang,  Bo Li,  Peng Cui,  Jianrong Tao,  Hongxia Yang,  Fei Wu ; PMLR 127:4-22

Predictive and Causal Implications of using Shapley Value for Model Interpretation

Sisi Ma,  Roshan Tourani ; PMLR 127:23-38

Hi-CI: Deep Causal Inference in High Dimensions

Ankit Sharma,  Garima Gupta,  Ranjitha Prasad,  Arnab Chatterjee,  Lovekesh Vig,  Gautam Shroff ; PMLR 127:39-61

Learning Latent Causal Structures with a Redundant Input Neural Network

Jonathan D. Young,  Bryan Andrews,  Gregory F. Cooper,  Xinghua Lu ; PMLR 127:62-91

subscribe via RSS