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反事实的推理学习系统

Counterfactual Reasoning and Learning Systems
课程网址: http://videolectures.net/onlinelearning2012_bottou_learning_syste...  
主讲教师: Léon Bottou
开课单位: 脸书公司
开课时间: 2013-05-28
课程语种: 英语
中文简介:
以搜索引擎广告投放问题为例,我们解释了因果推理在与其环境相互作用的学习系统设计中的核心作用。由于重要的采样技术,在随机实验期间收集的数据为帮助设计者提供了这样的学习系统和有用信号来驱动学习算法。由于学习算法与驱动它们的信号的提取之间的明显区别,这些方法可以适应具有不同结构的因果模型。由于与物理学共享的数学基础,这些信号可以描述达到平衡条件时系统的响应。
课程简介: Using the search engine ad placement problem as an example, we explain the central role of causal inference for the design of learning systems interacting with their environments. Thanks to importance sampling techniques, data collected during randomized experiments gives precious cues to assist the designer of such learning systems and useful signals to drive learning algorithms. Thanks to a sharp distinction between the learning algorithms and the extraction of the signals that drive them, these methods can be tailored to causal models with different structures. Thanks to mathematical foundations shared with physics, these signals can describe the response of the system when equilibrium conditions are reached.
关 键 词: 因果推理; 采样技术; 因果模型
课程来源: 视频讲座网
最后编审: 2020-01-13:chenxin
阅读次数: 115