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Causal Inference

934 directly classified papers

Papers per year

Papers

Explainable Reinforcement Learning through a Causal Lens AAAI 2020
Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020
Invariant Causal Prediction for Block MDPs ICML 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020
SemEval-2020 Task 5: Counterfactual Recognition COLING 2020
Ordering-Based Causal Structure Learning in the Presence of Latent Variables AISTATS 2020
On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge AISTATS 2020
Causal inference in degenerate systems: An impossibility result AISTATS 2020
On Pruning for Score-Based Bayesian Network Structure Learning AISTATS 2020
DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020
Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020
Spatio-Temporal Change Detection Using Granger Sequence Pattern IJCAI 2020
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation IJCAI 2020
Efficient Intervention Design for Causal Discovery with Latents ICML 2020
Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020
Structural Causal Models Are (Solvable by) Credal Networks PGM 2020
Commonsense Reasoning for Natural Language Processing ACL 2020
Statistically Efficient Greedy Equivalence Search UAI 2020
IDA with Background Knowledge UAI 2020
Differentiable Scene Graphs WACV 2020
Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020
Tuning Causal Discovery Algorithms PGM 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020
Strategic Classification is Causal Modeling in Disguise ICML 2020