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Evidence record 12263 · automatically gathered

Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

This paper considers a multi-environment factor model in which high-dimensional covariates are collected from heterogeneous environments, with auxiliary labels available in a subset of these environments. The joint distribution of the covariates may vary across environments, whereas the latent structure is decomposed into invariant factors with shared loadings and heterogeneous factors with environment-specific loadings. Such a model is motivated by transfer learning and latent factor regression

Record details

Published: 20 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Environment
Retrieved: 21 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (20 July 2026), “Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS,” evidence record 12263, https://ethics.ai/record/12263 (originally published by arXiv cs.LG).

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