{
  "id": 12263,
  "url": "https://arxiv.org/abs/2607.18209v1",
  "title": "Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS",
  "summary": "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",
  "authors": "Yihong Gu, Katherine Liao, Tianxi Cai",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-20T17:44:57.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12263",
  "original_url": "https://arxiv.org/abs/2607.18209v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}