kullback-leibler divergence
- Better Estimation of the Kullback--Leibler Divergence Between Language Models
- Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
- Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
- DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
- Distribution-Aligned Decoding for Efficient LLM Task Adaptation
- FACE: Faithful Automatic Concept Extraction
- Least squares variational inference
- Linear Mixture Distributionally Robust Markov Decision Processes
- Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
- Variational Inference with Mixtures of Isotropic Gaussians