4 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ML2018★ 4 cited
Graph-based regularization for regression problems with alignment and highly-correlated designs
Yuan Li, Benjamin Mark, Garvesh Raskutti +3
Sparse models for high-dimensional linear regression and machine learning have received substantial attention over the past two decades. Model selection, or determining which featu…
math.ST2016★ 3 cited
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…