A Theoretical Framework for Modular Learning of Robust Generative Models

Documenti analoghi

• Improved Balanced Classification with Theoretically Grounded Loss Functions
  di: Cortes, Corinna, et al.
  Pubblicazione: (2025)
• Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
  di: Cortes, Corinna, et al.
  Pubblicazione: (2025)
• Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
  di: Mohri, Mehryar, et al.
  Pubblicazione: (2026)
• Optimized Deferral for Imbalanced Settings
  di: Cortes, Corinna, et al.
  Pubblicazione: (2026)
• Cardinality-Aware Set Prediction and Top-$k$ Classification
  di: Cortes, Corinna, et al.
  Pubblicazione: (2024)