math.OC · 2026-08-11 · No. 81

Optimization and Control, 2026-08-11.

1 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Input convex neural networks as surrogates in mathematical optimisation

    Yu Liu, Jan Kronqvist, Fabricio Oliveira

    math.OC · cs.LG

    Embedding trained neural networks as surrogates within optimisation problems is an established practice in operations research. The prevailing approach uses feedforward neural networks (FNNs) with ReLU activations, whose piecewise-linear structure admits an exact but computationally intensive mixed-integer programming (MIP) reformulation as the networks grow. We advocate input convex neural networks (ICNNs) as structurally superior surrogates...

    arxiv.org/abs/2608.09707 · PDF

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