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Michael Hecht

4 papers hereh-index 211 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • cs.LG1
  • math.OC1
same name
  • Michael Hecht — 4 papers, h 3
  • Michael Hecht — 3 papers, h 2
  • Michael Hecht — 3 papers, h 2
  • Michael Hecht — 2 papers, h 1
  • Michael Hecht — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
collaborators

4 papers

math.NA2025

Interpolation in Polynomial Spaces of p-Degree

Phil-Alexander Hofmann, Damar Wicaksono, Michael Hecht

We recently introduced the Fast Newton Transform (FNT), an hierarchical algorithm for performing multivariate Newton interpolation in arbitrary downward closed polynomial spaces of…

math.NA2025

Accelerating Multivariate Newton Interpolation in Downward Closed Polynomial Spaces

Phil-Alexander Hofmann, Michael Hecht

We introduce the fast Newton transform (FNT), a multivariate Newton interpolation algorithm for downward closed polynomial spaces in quasi-tensorial grids. The FNT computes the New…

math.OC2024

PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates

Janina Schreiber, Pau Batlle, Damar Wicaksono +1

We introduce a surrogate-based black-box optimization method, termed Polynomial-model-based optimization (PMBO). The algorithm alternates polynomial approximation with Bayesian opt…

cs.LG2023

Polynomial-Model-Based Optimization for Blackbox Objectives

Janina Schreiber, Damar Wicaksono, Michael Hecht

For a wide range of applications the structure of systems like Neural Networks or complex simulations, is unknown and approximation is costly or even impossible. Black-box optimiza…

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