杨文昊，斯坦福管理科学与工程系博士后，2023年毕业于北京大学。主要研究方向包括统计学习理论，重尾理论，分布式稳健等。论文发表于Annals of Statistics, TPAMI等期刊以及NeurIPS, ICML, ICLR, ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

The gradient tells us how steep a line is, therefore the bigger the gradient the steeper the line is. A positive gradient is a straight line which slopes up to the right. A negative gradient is a ...