统计学习:因果导向和稳健Statistical Learning: Causal-oriented and Robust |
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课程网址: | https://videolectures.net/8ecm2021_buhlmann_learning_casual/ |
主讲教师: | Peter Bühlmann |
开课单位: | 8ECM会议 |
开课时间: | 2021-07-06 |
课程语种: | 英语 |
中文简介: | 可靠、稳健和可解释的机器学习是数据科学和人工智能领域的一个新兴主题,与纯黑匣子预测算法的发展相辅相成。从统计因果关系的角度来看,利用概率不变性为增强鲁棒性开辟了新的途径和机会,具有广泛的应用前景。 |
课程简介: | Reliable, robust and interpretable machine learning is a big emerging theme in data science and artificial intelligence, complementing the development of pure black box prediction algorithms. Looking through the lens of statistical causality and exploiting a probabilistic invariance property opens up new paths and opportunities for enhanced robustness, with wide-ranging prospects for various applications. |
关 键 词: | 统计学习; 因果导向; 数据科学; 人工智能 |
课程来源: | 视频讲座网 |
数据采集: | 2024-05-28:liyq |
最后编审: | 2024-05-28:liyq |
阅读次数: | 5 |