Lignende værker

• Learning under Quantization for High-Dimensional Linear Regression
  af: Zhang, Dechen, et al.
  Udgivet: (2025)
• Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
  af: Zhang, Dechen, et al.
  Udgivet: (2025)
• Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
  af: Chen, Yifang, et al.
  Udgivet: (2025)
• A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
  af: Tang, Xuan, et al.
  Udgivet: (2025)
• Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
  af: Chen, Xingwu, et al.
  Udgivet: (2025)