171 citations · 624 across the 37 of their papers we have counts for
4 papers · 1 filter
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
Han Chen, Garvesh Raskutti, Ming Yuan
In this paper, we consider the problem of learning high-dimensional tensor regression problems with low-rank structure. One of the core challenges associated with learning high-dim…
Inference of High-dimensional Autoregressive Generalized Linear Models
Eric C. Hall, Garvesh Raskutti, Rebecca Willett
Vector autoregressive models characterize a variety of time series in which linear combinations of current and past observations can be used to accurately predict future observatio…
Minimax optimal convex methods for Poisson inverse problems under -ball sparsity
Yuan Li, Garvesh Raskutti
In this paper, we study the minimax rates and provide an implementable convex algorithm for Poisson inverse problems under weak sparsity and physical constraints. In particular we…
Identifiability Assumptions and Algorithm for Directed Graphical Models with Feedback
Gunwoong Park, Garvesh Raskutti
Directed graphical models provide a useful framework for modeling causal or directional relationships for multivariate data. Prior work has largely focused on identifiability and s…