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stat.ML2025
Probability Bounding: Post-Hoc Calibration via Box-Constrained Softmax
Kyohei Atarashi, Satoshi Oyama, Hiromi Arai +1
Many studies have observed that modern neural networks achieve high accuracy while producing poorly calibrated probabilities, making calibration a critical practical issue. In this…
stat.ML2020★ 2 cited
Factorization Machines with Regularization for Sparse Feature Interactions
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Factorization machines (FMs) are machine learning predictive models based on second-order feature interactions and FMs with sparse regularization are called sparse FMs. Such regula…