Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement Enhancements

Documenti analoghi

• On Regularization via Early Stopping for Least Squares Regression
  di: Sonthalia, Rishi, et al.
  Pubblicazione: (2024)
• On the Sample Complexity of Set Membership Estimation for Linear Systems with Disturbances Bounded by Convex Sets
  di: Xu, Haonan, et al.
  Pubblicazione: (2024)
• High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
  di: Armacki, Aleksandar, et al.
  Pubblicazione: (2023)
• A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
  di: Blanco, Víctor, et al.
  Pubblicazione: (2025)
• A GPU-accelerated Nonlinear Branch-and-Bound Framework for Sparse Linear Models
  di: Meng, Xiang, et al.
  Pubblicazione: (2026)