31 citations · 159 across the 14 of their papers we have counts for
4 papers · 1 filter
Matrix Completion Under Monotonic Single Index Models
Ravi Ganti, Laura Balzano, Rebecca Willett
Most recent results in matrix completion assume that the matrix under consideration is low-rank or that the columns are in a union of low-rank subspaces. In real-world settings, ho…
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…
Active Model Aggregation via Stochastic Mirror Descent
Ravi Ganti
We consider the problem of learning convex aggregation of models, that is as good as the best convex aggregation, for the binary classification problem. Working in the stream based…
Sparse Linear Regression With Missing Data
Ravi Ganti, Rebecca M. Willett
This paper proposes a fast and accurate method for sparse regression in the presence of missing data. The underlying statistical model encapsulates the low-dimensional structure of…