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Causal Inference

934 directly classified papers

Papers per year

Papers

Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Recommendations as Treatments: Debiasing Learning and Evaluation ICML 2016
Estimating Causal Structure Using Conditional DAG Models JMLR 2016
A Differential Approach to Causality in Staged Trees PGM 2016
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016
Causal Bandits: Learning Good Interventions via Causal Inference NIPS 2016
Bayesian Networks for Variable Groups PGM 2016
Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
Long-term Causal Effects via Behavioral Game Theory NIPS 2016
A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016
Ancestral Causal Inference NIPS 2016
Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016
Non-linear Causal Inference using Gaussianity Measures JMLR 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview JMLR 2016
Learning Granger Causality for Hawkes Processes ICML 2016
Identification and Overidentification of Linear Structural Equation Models NIPS 2016
The Arrow of Time in Multivariate Time Series ICML 2016
From Dependency to Causality: A Machine Learning Approach JMLR 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015
The Randomized Causation Coefficient JMLR 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Towards a Learning Theory of Cause-Effect Inference ICML 2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NIPS 2015