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Causal Inference

3310 directly classified papers

Papers per year

Papers

Active Learning Algorithms for Graphical Model Selection AISTATS 2016
Chinese Tense Labelling and Causal Analysis COLING 2016
Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016
A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016
Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016
Content-based Influence Modeling for Opinion Behavior Prediction COLING 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
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016
A Differential Approach to Causality in Staged Trees PGM 2016
Joint Inference for Event Coreference Resolution COLING 2016
A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation COLING 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
Estimating Causal Structure Using Conditional DAG Models JMLR 2016
Causal Inference through a Witness Protection Program JMLR 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation JMLR 2016
Learning Representations for Counterfactual Inference ICML 2016
Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models JMLR 2016
Conditional Independencies under the Algorithmic Independence of Conditionals JMLR 2016
The Role of Pitch in Punjabi Word Identification INTERSPEECH 2016
Identification and Overidentification of Linear Structural Equation Models NIPS 2016
Velum Control for Oral Sounds INTERSPEECH 2016