Preprints:

Links to published papers (organized by topics):

1. Predictive Modeling for Variable Selection / Group Selection / Structured Sparsity:

• C. Ke, M. Ahn, S. Shin, and Y. Lou. Iteratively reweighted group lasso based on log-composite regularization. SIAM Journal on Scientific Computing 43(5): S655–S678 (2021) [Download Matlab code]
• M. Ahn. Consistency bounds and support recovery of d-stationary solutions of sparse sample average approximations. Journal of Global Optimization 78(3): 397–422 (2019)
• H. Dong, M. Ahn and J.S. Pang. Structural properties of affine sparsity constraints. Mathematical Programming Series B 176(1–2): 95–135 (2019)
• M. Ahn, J.S. Pang and J. Xin. Difference-of-convex learning: directional stationarity, optimality and sparsity. SIAM Journal on Optimization 27(3): 1637-1665 (2017)

2. Power Systems:

• D. Troxell, M. Ahn and H. Gangammanavar. A cardinality minimization approach to security-constrained economic dispatch. Available online, IEEE Transactions on Power Systems 37(5): 3642–3652 (2022)

3. Revenue Management:

• M. Ahn, X. Luo and S. Shebalov. Variable pricing: an integrated airline pricing and revenue management model. Journal of Revenue and Pricing Management 19(6): 421–435 (2020)

4. Topic Modeling:

• J. Haddock, L. Kassab, S. Li, A. Kryshchenko, R. Grotheer, E. Sizikova, C. Wang, R.W.M.A. Madushani, M. Ahn, D. Needell and K. Leonard. Semi-supervised nonnegative matrix factorization for document classification. 2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2021, pp. 1355-1360
• M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R.W.M.A. Madushani, E. Sizikova and C. Wang. On large-scale dynamic topic modeling with nonnegative CP tensor decomposition. In: Demir I., Lou Y., Wang X., Welker K. (eds) Advances in Data Science. Association for Women in Mathematics Series, Vol 26. Springer, Cham