kullback–leibler divergence
A statistical measure of how one probability distribution diverges from a second reference distribution, often used in variational inference and model evaluation.
- Information Theoretic Learning for Diffusion Models with Warm Start
- Learning Expandable and Adaptable Representations for Continual Learning
- Optimal Best Arm Identification under Differential Privacy
- Optimal Regret of Bandits under Differential Privacy
- Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
- Taming generative video models for zero-shot optical flow extraction