The math used in ML papers is very diverse. There is too much to learn. It is easier if you pick a problem and learn the math for it. Find a group that is already working on that problem and ask them for best way to learn the math for it.
A strong foundation in linear algebra, multivariable calculus, probability, and statistics is going to be generally applicable almost no matter what problem you work on.
