289 citations · 1.2k across the 72 of their papers we have counts for
5 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…
A data-dependent weighted LASSO under Poisson noise
Xin Jiang, Patricia Reynaud-Bouret, Vincent Rivoirard +2
Sparse linear inverse problems appear in a variety of settings, but often the noise contaminating observations cannot accurately be described as bounded by or arising from a Gaussi…
Regularized Non-Gaussian Image Denoising
Albert Oh, Rebecca Willett
In image denoising problems, one widely-adopted approach is to minimize a regularized data-fit objective function, where the data-fit term is derived from a physical image acquisit…
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…
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…