ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.11994
  4. Cited By
Consensus-Based Optimization on Hypersurfaces: Well-Posedness and
  Mean-Field Limit
v1v2v3v4 (latest)

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

Mathematical Models and Methods in Applied Sciences (M3AS), 2020
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
Gradient is All You Need? How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
Gradient is All You Need? How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
Konstantin Riedl
T. Klock
Carina Geldhauser
M. Fornasier
309
10
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 LawEuropean journal of applied mathematics (EJAM), 2022
Konstantin Riedl
227
20
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
194
11
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 limitMathematical Models and Methods in Applied Sciences (M3AS), 2020
S. Grassi
L. Pareschi
199
46
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 LearningJournal of machine learning research (JMLR), 2020
M. Fornasier
Hui Huang
L. Pareschi
Philippe Sünnen
624
83
0
31 Jan 2020
1
Page 1 of 1