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stat.ML2026
Singularities of Non-negative Matrix Factorization and their application to Bayesian inference
Naoki Hayashi, Yota Maeda, Yasushi Esaki
Non-negative matrix factorization (NMF) is a singular statistical model whose Bayesian asymptotics are governed by the real log canonical threshold (RLCT). We study the local geome…
stat.ML2023
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa +2
One major challenge in machine learning applications is coping with mismatches between the datasets used in the development and those obtained in real-world applications. These mis…