تقرير
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
| العنوان: | Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture |
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| المؤلفون: | Nguyen, Minh-Toan, Couillet, Romain |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Statistics - Machine Learning, Computer Science - Machine Learning |
| الوصف: | The article considers semi-supervised multitask learning on a Gaussian mixture model (GMM). Using methods from statistical physics, we compute the asymptotic Bayes risk of each task in the regime of large datasets in high dimension, from which we analyze the role of task similarity in learning and evaluate the performance gain when tasks are learned together rather than separately. In the supervised case, we derive a simple algorithm that attains the Bayes optimal performance. Comment: AISTATS 2023 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2303.02048 |
| رقم الأكسشن: | edsarx.2303.02048 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |