Causal Inference

Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems IJCAI 2017 CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis IJCAI 2017 Counterfactual Fairness NeurIPS 2017 Detecting and Explaining Causes From Text For a Time Series Event EMNLP 2017 Discovering Causal Signals in Images CVPR 2017 Estimating individual treatment effect: generalization bounds and algorithms ICML 2017 Faithfulness of Probability Distributions and Graphs JMLR 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Reasoning about Probabilities in Unbounded First-Order Dynamical Domains IJCAI 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017 A Differential Approach to Causality in Staged Trees PGM 2016 A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016 Ancestral Causal Inference NeurIPS 2016 Bayesian Networks for Variable Groups PGM 2016 Causal Bandits: Learning Good Interventions via Causal Inference NeurIPS 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Causal Structure Using Conditional DAG Models JMLR 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016 Learning Granger Causality for Hawkes Processes ICML 2016 Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview JMLR 2016