27 citations · 72 across the 12 of their papers we have counts for
4 papers · 1 filter
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
Cuize Han, Nikhil Rao, Daria Sorokina +1
Gradient Boosted Decision Trees (GBDTs) are widely used for building ranking and relevance models in search and recommendation. Considerations such as latency and interpretability…
Learning Single Index Models in High Dimensions
Ravi Ganti, Nikhil Rao, Rebecca M. Willett +1
Single Index Models (SIMs) are simple yet flexible semi-parametric models for classification and regression. Response variables are modeled as a nonlinear, monotonic function of a…
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice
Parikshit Shah, Nikhil Rao, Gongguo Tang
Tensors play a central role in many modern machine learning and signal processing applications. In such applications, the target tensor is usually of low rank, i.e., can be express…
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging
Nikhil Rao, Benjamin Recht, Robert Nowak
In applications ranging from communications to genetics, signals can be modeled as lying in a union of subspaces. Under this model, signal coefficients that lie in certain subspace…