Gabriel Ponte, Marcia Fampa, Jon Lee. Branch-and-bound for integer D-Optimality with fast local search and variable-bound tightening. Mathematical Programming, 2025. [article]
Gabriel Ponte, Marcia Fampa, Jon Lee, Luze Xu. On computing sparse generalized inverses. Operations Research Letters, 2024. [article]
Luze Xu, Marcia Fampa, Jon Lee, Gabriel Ponte. Approximate 1-norm minimization and minimum-rank structured sparsity for various generalized inverses via local search. SIAM Journal on Optimization, 2021. [article]
Marcia Fampa, Jon Lee, Gabriel Ponte, Luze Xu. Experimental analysis of local searches for sparse reflexive generalized inverses. Journal of Global Optimization, 2021. [article]
Marcia Fampa, Jon Lee, Gabriel Ponte. Trading off 1-norm and sparsity against rank for linear models using mathematical optimization. Open Journal of Mathematical Optimization, 2021. [article]
Gabriel Ponte, Marcia Fampa, Jon Lee. Convex relaxation for the generalized maximum-entropy sampling problem. Proceedings of the 22nd International Symposium on Experimental Algorithms (SEA 2024), Leibniz International Proceedings in Informatics (LIPIcs). [article]
Gabriel Ponte, Marcia Fampa, Jon Lee. Exact and heuristic solution approaches for the D-Optimality problem. SBPO-2022, Proceedings of the LIV Simpósio Brasileiro de Pesquisa Operacional, SOBRAPO, 2022. [article]
Gabriel Ponte, Marcia Fampa, Jon Lee, Luze Xu. Good and Fast Row-Sparse ah-Symmetric Reflexive Generalized Inverses, 2024. [arXiv]
Gabriel Ponte, Marcia Fampa, Jon Lee. Convex relaxation for the generalized maximum-entropy sampling problem, 2024. (Journal version) [arXiv]
Aditya Pillai, Gabriel Ponte, Marcia Fampa, Jon Lee, Mohit Singh, Weijun Xie. Computing Experiment-Constrained D-Optimal Designs, 2024. [arXiv]
Gabriel Ponte, Marcia Fampa, Jon Lee, Luze Xu. ADMM for 0/1 D-Opt and MESP relaxations, 2024. [arXiv]