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Improving generalisation via anchor multivariate analysis
March 5, 2024, 2:44 p.m. | Homer Durand, Gherardo Varando, Gustau Camps-Valls, Nathan Mankovich
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce a causal regularisation extension to anchor regression (AR) for improved out-of-distribution (OOD) generalisation. We present anchor-compatible losses, aligning with the anchor framework to ensure robustness against distribution shifts. Various multivariate analysis (MVA) algorithms, such as (Orthonormalized) PLS, RRR, and MLR, fall within the anchor framework. We observe that simple regularisation enhances robustness in OOD settings. Estimators for selected algorithms are provided, showcasing consistency and efficacy in synthetic and real-world climate science problems. The …
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