105 citations · 172 across the 26 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
stat.ML2015★ 1 cited
Sign Stable Random Projections for Large-Scale Learning
Ping Li
We study the use of "sign -stable random projections" (where ) for building basic data processing tools in the context of large-scale machine learning applications (e…
stat.ML2015★ 3 cited
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices
Martin Slawski, Ping Li, Matthias Hein
Over the past few years, trace regression models have received considerable attention in the context of matrix completion, quantum state tomography, and compressed sensing. Estimat…
stat.ML2015
Min-Max Kernels
Ping Li
The min-max kernel is a generalization of the popular resemblance kernel (which is designed for binary data). In this paper, we demonstrate, through an extensive classification stu…