Causal Inference

Recovering Probability Distributions from Missing Data ACML 2017 Recursive Partitioning for Personalization using Observational Data ICML 2017 Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017 Reliable Decision Support using Counterfactual Models NeurIPS 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017 Simplifying Probabilistic Expressions in Causal Inference JMLR 2017 Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract) IJCAI 2017 Symbolic Priors for RNN-based Semantic Parsing IJCAI 2017 Temporalising Separation Logic for Planning with Search Control Knowledge IJCAI 2017 Temporal Orientation of Tweets for Predicting Income of Users ACL 2017 The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NeurIPS 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Translating Neuralese ACL 2017 Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017 Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 Active Learning Algorithms for Graphical Model Selection AISTATS 2016 A Differential Approach to Causality in Staged Trees PGM 2016 A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016 A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation COLING 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Causal Inference through a Witness Protection Program JMLR 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation Interspeech 2016