Learning gradients on manifolds

Sayan Mukherjee, Qiang Wu, Ding-Xuan Zhou

A common belief in high-dimensional data analysis is that data are concentrated on a low-dimensional manifold. This motivates simultaneous dimension reduction and regression on man…