← Keywords

causal inference

1619 papers

Explore in graph

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

Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods ICML 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NIPS 2020
Learning Causal Effects via Weighted Empirical Risk Minimization NIPS 2020
Entropic Causal Inference: Identifiability and Finite Sample Results NIPS 2020
Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020
Anchored Causal Inference in the Presence of Measurement Error UAI 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer ICML 2020
Measuring Correlation-to-Causation Exaggeration in Press Releases COLING 2020
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach ICML 2020
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation NIPS 2020
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion AAAI 2020
Applications of Common Entropy for Causal Inference NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
A Class of Algorithms for General Instrumental Variable Models NIPS 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
Causal Feature Learning for Utility-Maximizing Agents PGM 2020
Causal inference in degenerate systems: An impossibility result AISTATS 2020
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method AISTATS 2020
Explainable Reinforcement Learning through a Causal Lens AAAI 2020
Structural Causal Models Are (Solvable by) Credal Networks PGM 2020