تقرير
A Correction of Pseudo Log-Likelihood Method
| العنوان: | A Correction of Pseudo Log-Likelihood Method |
|---|---|
| المؤلفون: | Feng, Shi, Xiong, Nuoya, Zhang, Zhijie, Chen, Wei |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Mathematics Statistics |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Machine Learning |
| الوصف: | Pseudo log-likelihood is a type of maximum likelihood estimation (MLE) method used in various fields including contextual bandits, influence maximization of social networks, and causal bandits. However, in previous literature \citep{li2017provably, zhang2022online, xiong2022combinatorial, feng2023combinatorial1, feng2023combinatorial2}, the log-likelihood function may not be bounded, which may result in the algorithm they proposed not well-defined. In this paper, we give a counterexample that the maximum pseudo log-likelihood estimation fails and then provide a solution to correct the algorithms in \citep{li2017provably, zhang2022online, xiong2022combinatorial, feng2023combinatorial1, feng2023combinatorial2}. Comment: 7 pages |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2403.18127 |
| رقم الأكسشن: | edsarx.2403.18127 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |