Sparse and Smooth Signal Estimation: Convexification of L0-Formulations A Atamturk, A Gomez, S Han
Journal of Machine Learning Research 22 (52), 1-43, 2021
50 2021 -Convexifications for convex quadratic optimization with indicator variablesS Han, A Gómez, A Atamtürk
Mathematical Programming 202 (1-2), 95-134, 2023
24 2023 Fractional 0-1 programming and submodularity S Han, A Gomez, OA Prokopyev
Journal of Global Optimization, 2022
11 * 2022 Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix Z He, S Han, A Gómez, Y Cui, JS Pang
Mathematical Programming 204 (1), 517-566, 2024
9 2024 On polynomial-time solvability of combinatorial Markov random fields S Han, A Gómez, JS Pang
arXiv preprint arXiv:2209.13161, 2022
6 2022 Compact extended formulations for low-rank functions with indicator variables S Han, A Gomez
arXiv preprint arXiv:2110.14884, 2021
6 2021 The equivalence of optimal perspective formulation and Shor's SDP for quadratic programs with indicator variables S Han, A Gómez, A Atamtürk
Operations Research Letters, 2022
4 2022 Single-neuron convexifications for binarized neural networks S Han, A Gómez
http://www.optimization-online.org/DB_HTML/2021/05/8419.html, 2021
4 * 2021 Some strongly polynomially solvable convex quadratic programs with bounded variables JS Pang, S Han
SIAM Journal on Optimization 33 (2), 899-920, 2023
2 2023 Continuous selections of solutions to parametric variational inequalities S Han, JS Pang
SIAM Journal on Optimization 34 (1), 870-892, 2024
1 2024 On the number of pivots of Dantzig's simplex methods for linear and convex quadratic programs S Han, X Zhang, JS Pang
Operations Research Letters, 107091, 2024
1 2024 Robust support vector machines via conic optimization V Cepeda, A Gómez, S Han
arXiv preprint arXiv:2402.01797, 2024
2024 Analysis of a Class of Minimization Problems Lacking Lower Semicontinuity S Han, Y Cui, JS Pang