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Causal Inference

523 directly classified papers

Papers per year

Papers

Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NIPS 2017
Avoiding Discrimination through Causal Reasoning NIPS 2017
Model-Powered Conditional Independence Test NIPS 2017
A Framework for Optimal Matching for Causal Inference AISTATS 2017
Learning Causal Structures Using Regression Invariance NIPS 2017
Causal Effect Inference with Deep Latent-Variable Models NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
Discovering Causal Signals in Images CVPR 2017
Counterfactual Fairness NIPS 2017
Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016
Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
A Differential Approach to Causality in Staged Trees PGM 2016
Causal Bandits: Learning Good Interventions via Causal Inference NIPS 2016
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
Long-term Causal Effects via Behavioral Game Theory NIPS 2016
Identification and Overidentification of Linear Structural Equation Models NIPS 2016
Learning Bayesian networks with ancestral constraints NIPS 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
Private Causal Inference AISTATS 2016
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015
Learnability of Influence in Networks NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Rate-Agnostic (Causal) Structure Learning NIPS 2015