Elie Wolfe, Robert W. Spekkens and Tobias Fritz
"The Inflation Technique for Causal Inference with Latent Variables"
Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
Sharon Hensley-Alford, Piyush Madan, Shilpa Mahatma, Italo Buleje, Yanyan Han and Fang Lu
Effect of secular trend in drug effectiveness study in real world data
Identify Heterogeneous Effect and Confounding Effect via L_1-Regularized Soft Decision Tree
Razieh Nabi, Daniel Malinsky and Ilya Shpitser
Learning Optimal Fair Policies
Modern Methods for Spatial Econometrics
Razieh Nabi and Ilya Shpitser
Semi-parametric Causal Sufficient Dimension Reduction Of High Dimensional Treatment
Tineke Blom and Joris Mooij
Generalized Structural Causal Models
Eli Sherman and Ilya Shpitser
Identification and Estimation of Causal Effects from Dependent Data
Eli Ben-Michael and Avi Feller
Matrix Constraints and Multi-Task Learning for Covariate Balance
Stephan Bongers and Joris Mooij
Bridging the Gap between Random Differential Equations and Structural Causal Models
Xinkun Nie and Stefan Wager
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Manjari Narayan, Molly Lucas and Amit Etkin
Learning time-varying bi-variate causal structure using interventional neuroimaging
Angelos P. Armen and Robin J. Evans
Towards Characterising Bayesian Network Models under Selection
Steven Howard, Aaditya Ramdas, Jon McAuliffe and Jasjeet Sekhon
Uniform nonasymptotic confidence sequences for sequential treatment effect estimation