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Causal Inference

934 directly classified papers

Papers per year

Papers

Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph EMNLP 2020
Generalized Optimal Matching Methods for Causal Inference JMLR 2020
Social Commonsense Reasoning with Multi-Head Knowledge Attention EMNLP 2020
algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD JMLR 2020
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables JMLR 2020
Causal Discovery Toolbox: Uncovering causal relationships in Python JMLR 2020
Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ACL 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020
Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020
Identifiability of Additive Noise Models Using Conditional Variances JMLR 2020
Causal Discovery from Heterogeneous/Nonstationary Data JMLR 2020
Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe NIPS 2020
Structure Learning for Cyclic Linear Causal Models UAI 2020
Causal Bayesian Optimization AISTATS 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery NIPS 2020
Causal Estimation with Functional Confounders NIPS 2020
Causal Discovery in Physical Systems from Videos NIPS 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning NIPS 2020
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NIPS 2020
High-recall causal discovery for autocorrelated time series with latent confounders NIPS 2020