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Causal Inference

636 papers

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Papers

Applications of Common Entropy for Causal Inference NeurIPS 2020 A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020 Causal Estimation with Functional Confounders NeurIPS 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Causal Inference of Script Knowledge EMNLP 2020 Causally Denoise Word Embeddings Using Half-Sibling Regression AAAI 2020 Conditional Causal Relationships between Emotions and Causes in Texts EMNLP 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Entropic Causal Inference: Identifiability and Finite Sample Results NeurIPS 2020 Estimating Causal Effects Using Weighting-Based Estimators AAAI 2020 Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks NeurIPS 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 General Control Functions for Causal Effect Estimation from IVs NeurIPS 2020 Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NeurIPS 2020 General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains AAAI 2020 High-recall causal discovery for autocorrelated time series with latent confounders NeurIPS 2020 How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NeurIPS 2020 Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NeurIPS 2020 Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020