Damian Brzyski

activity

20152026

most citedFast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm

5 citations · 8 across the 6 of their papers we have counts for

collaborators

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3 papers · 1 filter

stat.ME2026

Joint Nuclear and $ℓ_{1}$ Regularization for Logistic Matrix Regression with Applications to Brain Imaging

Damian Brzyski, Aaron Cohen, Zijian Wang +3

We introduce a new convex optimization framework for logistic scalar-on-matrix regression which incorporates nuclear and $ℓ_{1}$ norm penalties to enforce simultaneously low-rank…

stat.ME2020

A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis

Damian Brzyski, Xixi Hu, Joaquin Goni +3

Classical scalar-response regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. In medical applications, however, regresso…

stat.ME2016★ 3 cited

Group SLOPE - adaptive selection of groups of predictors

Damian Brzyski, Alexej Gossmann, Weijie Su +1

Sorted L-One Penalized Estimation (SLOPE) is a relatively new convex optimization procedure which allows for adaptive selection of regressors under sparse high dimensional designs.…

Joint Nuclear and ℓ1​ Regularization for Logistic Matrix Regression with Applications to Brain Imaging

A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis

Group SLOPE - adaptive selection of groups of predictors

Joint Nuclear and $ℓ_{1}$ Regularization for Logistic Matrix Regression with Applications to Brain Imaging