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Causal Inference

934 directly classified papers

Papers per year

Papers

Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019
Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019
Counterfactual Reasoning in Observational Studies AAAI 2019
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018
Causal Inference via Kernel Deviance Measures NIPS 2018
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018
Preposition Sense Disambiguation and Representation EMNLP 2018
What Action Causes This? Towards Naive Physical Action-Effect Prediction ACL 2018
Robust Synthetic Control JMLR 2018
Cause-Effect Inference by Comparing Regression Errors AISTATS 2018
Markov Blanket and Markov Boundary of Multiple Variables JMLR 2018
Inducing Temporal Relations from Time Anchor Annotation NAACL 2018
Structure Learning Under Missing Data PGM 2018
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models ICML 2018
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams IJCAI 2018
Actual Causality in a Logical Setting IJCAI 2018
On the Conditional Logic of Simulation Models IJCAI 2018
Detecting non-causal artifacts in multivariate linear regression models ICML 2018
Causal Bandits with Propagating Inference ICML 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NIPS 2018
Confounding-Robust Policy Improvement NIPS 2018
Structural Causal Bandits: Where to Intervene? NIPS 2018