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Max Bourgeat

1 paper hereh-index 11 citations2 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.AI1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.AI2024

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning

Swann Bessa, Darius Dabert, Max Bourgeat +2

Lagrangian decomposition (LD) is a relaxation method that provides a dual bound for constrained optimization problems by decomposing them into more manageable sub-problems. This bo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.