| Difference-of-convex learning: directional stationarity, optimality, and sparsity M Ahn, JS Pang, J Xin SIAM Journal on Optimization 27 (3), 1637-1665, 2017 | 96 | 2017 |
| Structural properties of affine sparsity constraints H Dong, M Ahn, JS Pang Mathematical Programming 176, 95-135, 2019 | 27 | 2019 |
| On large-scale dynamic topic modeling with nonnegative CP tensor decomposition M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ... Advances in Data Science, 181-210, 2021 | 9 | 2021 |
| Semi-supervised nmf models for topic modeling in learning tasks J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... arXiv preprint arXiv:2010.07956, 2020 | 4 | 2020 |
| A Cardinality Minimization Approach to Security-Constrained Economic Dispatch D Troxell, M Ahn, H Gangammanavar IEEE Transactions on Power Systems 37 (5), 3642-3652, 2021 | 3 | 2021 |
| Semi-supervised nonnegative matrix factorization for document classification J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021 | 3 | 2021 |
| Iteratively reweighted group lasso based on log-composite regularization C Ke, M Ahn, S Shin, Y Lou SIAM Journal on Scientific Computing 43 (5), S655-S678, 2021 | 3 | 2021 |
| Variable pricing: an integrated airline pricing and revenue management model M Ahn, X Luo, S Shebalov Journal of Revenue and Pricing Management 19 (6), 421-435, 2020 | 2 | 2020 |
| Consistency bounds and support recovery of d-stationary solutions of sparse sample average approximations M Ahn Journal of Global Optimization 78 (3), 397-422, 2019 | 2 | 2019 |
| Difference-of-convex learning: optimization with non-convex sparsity functions M Ahn University of Southern California, 2018 | 1 | 2018 |
| Tractable Continuous Approximations for Constraint Selection via Cardinality Minimization M Ahn, H Gangammanavar, D Troxell | | 2022 |
| A Generalized Formulation for Group Selection via ADMM C Ke, S Shin, Y Lou, M Ahn | | 2022 |
