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Causal Inference

523 directly classified papers

Papers per year

Papers

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020
Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020
Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020
Causal inference in degenerate systems: An impossibility result AISTATS 2020
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020
A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory IJCAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NIPS 2020
High-recall causal discovery for autocorrelated time series with latent confounders NIPS 2020
Learning Causal Effects via Weighted Empirical Risk Minimization NIPS 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System NIPS 2020
Entropic Causal Inference: Identifiability and Finite Sample Results NIPS 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NIPS 2020
Active Invariant Causal Prediction: Experiment Selection through Stability NIPS 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks NIPS 2020
Applications of Common Entropy for Causal Inference NIPS 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Causal Inference of Script Knowledge EMNLP 2020
Conditional Causal Relationships between Emotions and Causes in Texts EMNLP 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020