Tag: covariate
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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models arXiv:2505.20536v1 Announce Type: new Abstract: This paper studies the task of estimating heterogeneous treatment effects in causal panel data models, in the presence of covariate effects. We propose a novel Covariate-Adjusted Deep Causal Learning (CoDEAL) for panel data models, that employs flexible model structures and powerful…
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Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees arXiv:2504.16356v1 Announce Type: new Abstract: Graphical models are widely used in diverse application domains to model the conditional dependencies amongst a collection of random variables. In this paper, we consider settings where the graph structure is covariate-dependent, and investigate a deep neural network-based approach to…
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Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition arXiv:2502.09047v1 Announce Type: new Abstract: A common pursuit in modern statistical learning is to attain satisfactory generalization out of the source data distribution (OOD). In theory, the challenge remains unsolved even under the canonical setting of covariate shift for the linear model.…