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Causal Inference

3,333 papers

Papers per year

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15
28
277
391
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Papers

Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023
Formal Explanations of Neural Network Policies for Planning IJCAI 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023
Quantifying Consistency and Information Loss for Causal Abstraction Learning IJCAI 2023
Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023
Anti-unification and Generalization: A Survey IJCAI 2023
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract) IJCAI 2023
Argumentation for Interactive Causal Discovery IJCAI 2023
Tonal coarticulation as a cue for upcoming prosodic boundary INTERSPEECH 2023
Automatic speaker recognition with variation across vocal conditions: a controlled experiment with implications for forensics INTERSPEECH 2023
Python package for causal discovery based on LiNGAM JMLR 2023
The d-Separation Criterion in Categorical Probability JMLR 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments JMLR 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding JMLR 2023
Clustering and Structural Robustness in Causal Diagrams JMLR 2023
Model-based Causal Discovery for Zero-Inflated Count Data JMLR 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
Scalable Computation of Causal Bounds JMLR 2023
Causal Discovery with Unobserved Confounding and Non-Gaussian Data JMLR 2023
Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation JMLR 2023
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models JMLR 2023