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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Causal Embeddings for Recommendation: An Extended Abstract IJCAI 2019
CounterFactual Regression with Importance Sampling Weights IJCAI 2019
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise JMLR 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019
Stability of Linear Structural Equation Models of Causal Inference UAI 2019
Abstracting Causal Models AAAI 2019
Intervening on Network Ties UAI 2019
Domain-Size Aware Markov Logic Networks AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models NAACL 2019
Measuring and Modeling Language Change NAACL 2019
On the Estimation of Treatment Effect with Text Covariates IJCAI 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019
Causal Inference Under Interference And Network Uncertainty UAI 2019
Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs UAI 2019
Counterfactual Story Reasoning and Generation EMNLP 2019
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019
From Statistical Transportability to Estimating the Effect of Stochastic Interventions IJCAI 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019
Adapting Neural Networks for the Estimation of Treatment Effects NIPS 2019
Classifying Treatment Responders Under Causal Effect Monotonicity ICML 2019
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications AAAI 2019
What is the Effect of Importance Weighting in Deep Learning? ICML 2019