causal inference

Approximate Causal Abstractions UAI 2019 Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NeurIPS 2019 Balanced Linear Contextual Bandits AAAI 2019 Beyond Structural Causal Models: Causal Constraints Models UAI 2019 Blameworthiness in Multi-Agent Settings AAAI 2019 Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019 Causal Confusion in Imitation Learning NeurIPS 2019 Causal Discovery in the Presence of Missing Data AISTATS 2019 Causal Embeddings for Recommendation: An Extended Abstract IJCAI 2019 Causal Identification under Markov Equivalence: Completeness Results ICML 2019 Causal Inference Under Interference And Network Uncertainty UAI 2019 Causal Regularization NeurIPS 2019 Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NeurIPS 2019 Classifying Treatment Responders Under Causal Effect Monotonicity ICML 2019 Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019 Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019 Counterfactual Reasoning in Observational Studies AAAI 2019 CounterFactual Regression with Importance Sampling Weights IJCAI 2019 Counterfactual Story Reasoning and Generation EMNLP 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information AAAI 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019