Juan Pablo Vielma

Juan Pablo Vielma

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Shapes and recession cones in mixed-integer convex representability
Ilias Zadik
Juan Pablo Vielma
Miles Lubin
Mathematical Programming (2023)
Performance enhancements for a generic conic interior point algorithm
Chris Coey
Juan Pablo Vielma
Lea Kapelevich
Mathematical Programming Computation, 15 (2023), pp. 53-101
Sum of squares generalizations for conic sets
Chris Coey
Juan Pablo Vielma
Lea Kapelevich
Mathematical Programming (2022)
Conic optimization with spectral functions on Euclidean Jordan algebras
Chris Coey
Juan Pablo Vielma
Lea Kapelevich
Mathematics of Operations Research (2022)
Computing conjugate barrier information for nonsymmetric cones
Erling D. Andersen
Juan Pablo Vielma
Lea Kapelevich
Journal of Optimization Theory and Applications (2022)
Solving natural conic formulations with Hypatia.jl
Chris Coey
Juan Pablo Vielma
Lea Kapelevich
INFORMS Journal on Computing, 34 (2022), pp. 2686-2699
Mixed-integer convex representability
Miles Lubin
Juan Pablo Vielma
Ilias Zadik
Mathematics of Operations Research, 47 (2021), pp. 720-749
Strong mixed-integer programming formulations for trained neural networks
Ross Michael Anderson
Joseph Huchette
Will Ma
Christian Tjandraatmadja
Juan Pablo Vielma
Mathematical Programming, 183 (2020), pp. 3-39
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja
Joey Huchette
Juan Pablo Vielma
Krunal K Patel
Ross Michael Anderson
Will Ma
Advances in Neural Information Processing Systems (2020), pp. 21675-21686
A geometric way to build strong mixed-integer programming formulations
Joseph Huchette
Juan Pablo Vielma
Operations Research Letters, 47 (2019), pp. 601-606
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