causal inference

Faithfulness of Probability Distributions and Graphs JMLR 2017 Feature Selection as Causal Inference: Experiments with Text Classification CoNLL 2017 GP CaKe: Effective brain connectivity with causal kernels NeurIPS 2017 Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017 Identifying Best Interventions through Online Importance Sampling ICML 2017 Learning Causal Structures Using Regression Invariance NeurIPS 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions JMLR 2017 Learning Optimal Interventions AISTATS 2017 Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NeurIPS 2017 Permutation-based Causal Inference Algorithms with Interventions NeurIPS 2017 Recovering Probability Distributions from Missing Data ACML 2017 Recursive Partitioning for Personalization using Observational Data ICML 2017 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017 Simplifying Probabilistic Expressions in Causal Inference JMLR 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 A Differential Approach to Causality in Staged Trees PGM 2016 Causal Bandits: Learning Good Interventions via Causal Inference NeurIPS 2016 Causal Inference through a Witness Protection Program JMLR 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Conditional Independencies under the Algorithmic Independence of Conditionals JMLR 2016