P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints

10 February 2022

Papers citing "P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints"

5 / 5 papers shown

Title
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations Pablo Carrasco Gonzalo Muñoz 59 2 0 30 Oct 2024
Outlier detection in regression: conic quadratic formulations A. Gómez J. Neto 18 4 0 12 Jul 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 33 0 29 Apr 2023
Model-based feature selection for neural networks: A mixed-integer programming approach Shudian Zhao Calvin Tsay Jan Kronqvist 46 5 0 20 Feb 2023
Neur2SP: Neural Two-Stage Stochastic Programming Justin Dumouchelle R. Patel Elias Boutros Khalil Merve Bodur 61 27 0 20 May 2022