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Found 6 papers, 1 papers with code
Proxy Methods for Domain Adaptation
We study the problem of domain adaptation under distribution shift, where the shift is due to a change in the distribution of an unobserved, latent variable that confounds both the covariates and the labels.
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models
Probabilistic generative models of graphs are important tools that enable representation and sampling.
Adapting to Latent Subgroup Shifts via Concepts and Proxies
We show that the optimal target predictor can be non-parametrically identified with the help of concept and proxy variables available only in the source domain, and unlabeled data from the target.
Latent Multimodal Functional Graphical Model Estimation
Joint multimodal functional data acquisition, where functional data from multiple modes are measured simultaneously from the same subject, has emerged as an exciting modern approach enabled by recent engineering breakthroughs in the neurological and biological sciences.
Joint Gaussian Graphical Model Estimation: A Survey
Graphs from complex systems often share a partial underlying structure across domains while retaining individual features.
A Nonconvex Framework for Structured Dynamic Covariance Recovery
We prove a linear convergence rate up to a nontrivial statistical error for the proposed descent scheme and establish sample complexity guarantees for the estimator.
