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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020
Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020
Causal Bayesian Optimization AISTATS 2020
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NIPS 2020
FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020
Learning to search efficiently for causally near-optimal treatments NIPS 2020
Towards practical differentially private causal graph discovery NIPS 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020
Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods AISTATS 2020
Robustness to Spurious Correlations via Human Annotations ICML 2020
Strategic Classification is Causal Modeling in Disguise ICML 2020
A/B Testing in Dense Large-Scale Networks: Design and Inference NIPS 2020
Causal Estimation with Functional Confounders NIPS 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition EMNLP 2020
Causal Strategic Linear Regression ICML 2020
Semi-supervised learning, causality, and the conditional cluster assumption UAI 2020
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020
Estimation of Bounds on Potential Outcomes For Decision Making ICML 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs ICML 2020
Causal Effect Identifiability under Partial-Observability ICML 2020
Domain Adaptation as a Problem of Inference on Graphical Models NIPS 2020
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments ICML 2020