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Consensus-Based Optimization on Hypersurfaces: Well-Posedness and
  Mean-Field Limit
v1v2v3v4 (latest)

Consensus-Based Optimization on Hypersurfaces: Well-Posedness and Mean-Field Limit

31 January 2020
M. Fornasier
Hui-Lin Huang
L. Pareschi
Philippe Sünnen
ArXiv (abs)PDFHTML

Papers citing "Consensus-Based Optimization on Hypersurfaces: Well-Posedness and Mean-Field Limit"

5 / 5 papers shown
Title
Gradient is All You Need?
Gradient is All You Need?
Konstantin Riedl
T. Klock
Carina Geldhauser
M. Fornasier
57
8
0
16 Jun 2023
Leveraging Memory Effects and Gradient Information in Consensus-Based
  Optimization: On Global Convergence in Mean-Field Law
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law
Konstantin Riedl
58
16
0
22 Nov 2022
Ensemble-based gradient inference for particle methods in optimization
  and sampling
Ensemble-based gradient inference for particle methods in optimization and sampling
C. Schillings
C. Totzeck
Philipp Wacker
65
10
0
23 Sep 2022
From particle swarm optimization to consensus based optimization:
  stochastic modeling and mean-field limit
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
S. Grassi
L. Pareschi
42
40
0
10 Dec 2020
Consensus-Based Optimization on the Sphere: Convergence to Global
  Minimizers and Machine Learning
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning
M. Fornasier
Hui Huang
L. Pareschi
Philippe Sünnen
129
69
0
31 Jan 2020
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