Documenti analoghi

• Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
  di: Kliachkin, Andrii, et al.
  Pubblicazione: (2025)
• Stochastic Penalty-Barrier Methods for Constrained Machine Learning
  di: Bosák, Adam, et al.
  Pubblicazione: (2026)
• Deep Learning as the Disciplined Construction of Tame Objects
  di: Bareilles, Gilles, et al.
  Pubblicazione: (2025)
• Piecewise Polynomial Regression of Tame Functions via Integer Programming
  di: Bareilles, Gilles, et al.
  Pubblicazione: (2023)
• Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
  di: Zhou, Quan, et al.
  Pubblicazione: (2020)