Stochastic optimization for large-scale machine learning

Stochastic optimization for large-scale machine learning

"Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challenge. Developed optimisation techniques are also explored to improve machine learning algorithms based on data access and on first and second ord...

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Detalles Bibliográficos
Otros Autores: Chauhan, Vinod Kumar, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press [2022]
Edición:First edition
Materias:
Machine learning > Statistical methods.
Big data.
Mathematical optimization.
Stochastic processes.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009674732006719
Tabla de Contenidos:
  • Optimisation problem, solvers, challenges and research directions
  • Mini-batch and block-coordinate approach
  • Variance reduction methods
  • Learning and data access
  • Mini-batch block-coordinate Newton method
  • Stochastic trust region inexact Newton method
  • Conclusion and future scope.

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