Juan Pablo Vielma
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Performance enhancements for a generic conic interior point algorithm
Chris Coey
Lea Kapelevich
Mathematical Programming Computation, 15 (2023), pp. 53-101
Computing conjugate barrier information for nonsymmetric cones
Erling D. Andersen
Lea Kapelevich
Journal of Optimization Theory and Applications (2022)
Mixed-integer convex representability
Miles Lubin
Ilias Zadik
Mathematics of Operations Research, 47 (2021), pp. 720-749
Strong mixed-integer programming formulations for trained neural networks
Will Ma
Mathematical Programming, 183 (2020), pp. 3-39
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Joey Huchette
Krunal K Patel
Will Ma
Advances in Neural Information Processing Systems (2020), pp. 21675-21686
Strong mixed-integer programming formulations for trained neural networks
Integer Programming and Combinatorial Optimization - 20th International Conference, IPCO 2019, Ann Arbor, MI, USA, May 22-24, 2019, Proceedings, Springer, pp. 27-42
