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Causal Inference

539 papers

Papers per year

5
5
49
47
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Papers

Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Identification and Overidentification of Linear Structural Equation Models NIPS 2016
Long-term Causal Effects via Behavioral Game Theory NIPS 2016
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
Causal Bandits: Learning Good Interventions via Causal Inference NIPS 2016
Private Causal Inference AISTATS 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
A Differential Approach to Causality in Staged Trees PGM 2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016
Learnability of Influence in Networks NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Rate-Agnostic (Causal) Structure Learning NIPS 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
Feedback Detection for Live Predictors NIPS 2014
Randomized Experimental Design for Causal Graph Discovery NIPS 2014
On Estimating Causal Effects based on Supplemental Variables AISTATS 2014
Transportability from Multiple Environments with Limited Experiments NIPS 2013
Graphical Models for Inference with Missing Data NIPS 2013
Causal Inference on Time Series using Restricted Structural Equation Models NIPS 2013
Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013