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Between steps: Intermediate relaxations between big-M and convex hull
  formulations

Between steps: Intermediate relaxations between big-M and convex hull formulations

29 January 2021
Jan Kronqvist
Ruth Misener
Calvin Tsay
ArXivPDFHTML

Papers citing "Between steps: Intermediate relaxations between big-M and convex hull formulations"

4 / 4 papers shown
Title
Formal Verification of Markov Processes with Learned Parameters
Formal Verification of Markov Processes with Learned Parameters
Muhammad Maaz
Timothy C. Y. Chan
40
0
0
27 Jan 2025
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
91
32
0
29 Apr 2023
Model-based feature selection for neural networks: A mixed-integer
  programming approach
Model-based feature selection for neural networks: A mixed-integer programming approach
Shudian Zhao
Calvin Tsay
Jan Kronqvist
19
5
0
20 Feb 2023
OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning Toolkit
Francesco Ceccon
Jordan Jalving
Joshua Haddad
Alexander Thebelt
Calvin Tsay
C. Laird
Ruth Misener
25
67
0
04 Feb 2022
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