Causal Inference

Multi-domain Causal Structure Learning in Linear Systems NeurIPS 2018 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Representation Balancing MDPs for Off-policy Policy Evaluation NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data NeurIPS 2018 Uplift Modeling from Separate Labels NeurIPS 2018 A Framework for Optimal Matching for Causal Inference AISTATS 2017 Avoiding Discrimination through Causal Reasoning NeurIPS 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Counterfactual Fairness NeurIPS 2017 Discovering Causal Signals in Images CVPR 2017 GP CaKe: Effective brain connectivity with causal kernels NeurIPS 2017 Learning Causal Structures Using Regression Invariance NeurIPS 2017 Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NeurIPS 2017 Model-Powered Conditional Independence Test NeurIPS 2017 Permutation-based Causal Inference Algorithms with Interventions NeurIPS 2017 Quantifying how much sensory information in a neural code is relevant for behavior NeurIPS 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 Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 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 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016