| Training support vector machines: an application to face detection E Osuna, R Freund, F Girosit Proceedings of IEEE computer society conference on computer vision and …, 1997 | 4148 | 1997 |
| Support vector machines: Training and applications EE Osuna Massachusetts Institute of Technology, 1998 | 1277 | 1998 |
| Optimal investment in product-flexible manufacturing capacity CH Fine, RM Freund Management science 36 (4), 449-466, 1990 | 663 | 1990 |
| Relatively smooth convex optimization by first-order methods, and applications H Lu, RM Freund, Y Nesterov SIAM Journal on Optimization 28 (1), 333-354, 2018 | 386 | 2018 |
| Computation of minimum-volume covering ellipsoids P Sun, RM Freund Operations Research 52 (5), 690-706, 2004 | 262 | 2004 |
| Optimizing product line designs: Efficient methods and comparisons A Belloni, R Freund, M Selove, D Simester Management Science 54 (9), 1544-1552, 2008 | 190 | 2008 |
| New analysis and results for the Frank–Wolfe method RM Freund, P Grigas Mathematical Programming 155 (1), 199-230, 2016 | 175 | 2016 |
| Robust topology optimization of three-dimensional photonic-crystal band-gap structures H Men, KYK Lee, RM Freund, J Peraire, SG Johnson Optics express 22 (19), 22632-22648, 2014 | 161 | 2014 |
| Some characterizations and properties of the “distance to ill-posedness” and the condition measure of a conic linear system RM Freund, JR Vera Mathematical Programming 86 (2), 225-260, 1999 | 140 | 1999 |
| Polynomial-time algorithms for linear programming based only on primal scaling and projected gradients of a potential function RM Freund Mathematical Programming 51 (1), 203-222, 1991 | 137 | 1991 |
| An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion RM Freund, Robert M., Paul Grigas SIAM Journal on Optimization 27 (1), 319-346, 2017 | 131 | 2017 |
| Interior point methods: current status and future directions RM Freund, S Mizuno High performance optimization, 441-466, 2000 | 126 | 2000 |
| Condition-based complexity of convex optimization in conic linear form via the ellipsoid algorithm RM Freund, JR Vera SIAM Journal on Optimization 10 (1), 155-176, 1999 | 120 | 1999 |
| Solution methodologies for the smallest enclosing circle problem S Xu, RM Freund, J Sun Computational Optimization and Applications 25, 283-292, 2003 | 109 | 2003 |
| Condition number complexity of an elementary algorithm for computing a reliable solution of a conic linear system M Epelman, RM Freund Mathematical Programming 88 (3), 451-485, 2000 | 105 | 2000 |
| On the complexity of four polyhedral set containment problems RM Freund, JB Orlin Mathematical programming 33 (2), 139-145, 1985 | 104 | 1985 |
| A constructive proof of Tucker's combinatorial lemma RM Freund, MJ Todd Journal of Combinatorial Theory, Series A 30 (3), 321-325, 1981 | 86 | 1981 |
| Computational experience and the explanatory value of condition measures for linear optimization F Ordónez, RM Freund SIAM Journal on Optimization 14 (2), 307-333, 2003 | 80 | 2003 |
| A new condition measure, preconditioners, and relations between different measures of conditioning for conic linear systems M Epelman, RM Freund SIAM Journal on Optimization 12 (3), 627-655, 2002 | 73 | 2002 |
| Penalty and barrier methods for constrained optimization RM Freund Lecture Notes, Massachusetts Institute of Technology, 2004 | 72 | 2004 |
Alexandre BelloniDuke UniversityVerified email at duke.edu
