Papers
CausalUAI2018_paper_1.pdfCausalUAI2018_paper_2.pdfElie Wolfe, Robert W. Spekkens and Tobias Fritz
"The Inflation Technique for Causal Inference with Latent Variables"
CausalUAI2018_paper_3.pdfIdentifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
CausalUAI2018_madan.pdfSharon 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
CausalUAI2018_paper_5.pdfIdentify Heterogeneous Effect and Confounding Effect via L_1-Regularized Soft Decision Tree
CausalUAI2018_paper_6.pdfRazieh Nabi, Daniel Malinsky and Ilya Shpitser
Learning Optimal Fair Policies
CausalUAI2018_paper_7.pdfModern Methods for Spatial Econometrics
CausalUAI2018_paper_8.pdfRazieh Nabi and Ilya Shpitser
Semi-parametric Causal Sufficient Dimension Reduction Of High Dimensional Treatment
CausalUAI2018_paper_9.pdfTineke Blom and Joris Mooij
Generalized Structural Causal Models
CausalUAI2018_paper_10.pdfEli Sherman and Ilya Shpitser
Identification and Estimation of Causal Effects from Dependent Data
CausalUAI2018_paper_11.pdfEli Ben-Michael and Avi Feller
Matrix Constraints and Multi-Task Learning for Covariate Balance
CausalUAI2018_paper_12.pdfStephan Bongers and Joris Mooij
Bridging the Gap between Random Differential Equations and Structural Causal Models
CausalUAI2018_paper_13.pdfXinkun Nie and Stefan Wager
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
CausalUAI2018_paper_14.pdfManjari Narayan, Molly Lucas and Amit Etkin
Learning time-varying bi-variate causal structure using interventional neuroimaging
CausalUAI2018_paper_15.pdfAngelos P. Armen and Robin J. Evans
Towards Characterising Bayesian Network Models under Selection
CausalUAI2018_paper_16.pdfSteven Howard, Aaditya Ramdas, Jon McAuliffe and Jasjeet Sekhon
Uniform nonasymptotic confidence sequences for sequential treatment effect estimation