Miju Ahn

According to our database, Miju Ahn authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Tractable Continuous Approximations for Constraint Selection via Cardinality Minimization.

Miju Ahn, Harsha Gangammanavar, David Troxell

INFORMS J. Optim., 2025

2024

A Generalized Formulation for Group Selection via ADMM.

Chengyu Ke, Sunyoung Shin, Yifei Lou, Miju Ahn

J. Sci. Comput., July, 2024

Difference-of-Convex Approximation Methods for the Affine Sparsity Constraints for Hierarchical Variable Selection.

Chengyu Ke, Miju Ahn

Proceedings of the 58th Asilomar Conference on Signals, 2024

2021

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization.

Chengyu Ke, Miju Ahn, Sunyoung Shin, Yifei Lou

SIAM J. Sci. Comput., 2021

A Cardinality Minimization Approach to Security-Constrained Economic Dispatch.

David Troxell, Miju Ahn, Harsha Gangammanavar

CoRR, 2021

Semi-supervised Nonnegative Matrix Factorization for Document Classification.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Consistency bounds and support recovery of d-stationary solutions of sparse sample average approximations.

Miju Ahn

J. Glob. Optim., 2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

CoRR, 2020

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition.

Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang

CoRR, 2020

2019

Structural properties of affine sparsity constraints.

Hongbo Dong, Miju Ahn, Jong-Shi Pang

Math. Program., 2019

2017

Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity.

Miju Ahn, Jong-Shi Pang, Jack Xin

SIAM J. Optim., 2017