Dimensionality Reduction Techniques for Global Bayesian Optimisation

Documenti analoghi

• Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
  di: Long, Luo, et al.
  Pubblicazione: (2025)
• Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
  di: Cartis, Coralia, et al.
  Pubblicazione: (2025)
• On Global Rates for Regularization Methods based on Secant Derivative Approximations
  di: Cartis, Coralia, et al.
  Pubblicazione: (2025)
• Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
  di: Zhu, Wenqi, et al.
  Pubblicazione: (2024)
• Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
  di: Zhu, Wenqi, et al.
  Pubblicazione: (2025)