Graph-Based Regularization for Regression Problems with Highly-Correlated Designs. - Yuan Li 006; Benjamin Mark; Garvesh Raskutti; Rebecca Willett (GlobalSIP, 2018)

Graph-based regularization for regression problems with highly-correlated designs. - Yuan Li 006; Garvesh Raskutti; Rebecca Willett (CoRR, 2018)

Minimax Optimal Convex Methods for Poisson Inverse Problems Under ℓq-Ball Sparsity. - Yuan Li 006; Garvesh Raskutti (IEEE Trans. Inf. Theory, 2018)

Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs. - Yuan Li 006; Benjamin Mark; Garvesh Raskutti; Rebecca Willett; Hyebin Song; David Neiman (SIAM J. Math. Data Sci., 2020)