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Causal Inference

636 papers

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Papers

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior NeurIPS 2022 Certified Robustness Against Natural Language Attacks by Causal Intervention ICML 2022 Cluster Randomized Designs for One-Sided Bipartite Experiments NeurIPS 2022 Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery NeurIPS 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NeurIPS 2022 Counterfactual Prediction for Outcome-Oriented Treatments ICML 2022 CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering EMNLP 2022 DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NeurIPS 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NeurIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NeurIPS 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022 Deconfounded Visual Grounding AAAI 2022 Deep Counterfactual Estimation with Categorical Background Variables NeurIPS 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NeurIPS 2022 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning NeurIPS 2022 Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NeurIPS 2022 Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022 Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data AISTATS 2022 Doubly Robust Counterfactual Classification NeurIPS 2022 Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022 Empirical Gateaux Derivatives for Causal Inference NeurIPS 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Factored Adaptation for Non-Stationary Reinforcement Learning NeurIPS 2022 Falsification before Extrapolation in Causal Effect Estimation NeurIPS 2022 Finding and Listing Front-door Adjustment Sets NeurIPS 2022