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Ensemble-based gradient inference for particle methods in optimization
  and sampling
v1v2 (latest)

Ensemble-based gradient inference for particle methods in optimization and sampling

23 September 2022
C. Schillings
C. Totzeck
Philipp Wacker
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "Ensemble-based gradient inference for particle methods in optimization and sampling"

2 / 2 papers shown
Perspectives on locally weighted ensemble Kalman methods
Perspectives on locally weighted ensemble Kalman methods
Philipp Wacker
189
1
0
06 Jan 2024
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
222
20
0
22 Nov 2022
1
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