3 papers
cs.LG2026
ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning
Yilie Huang, Wenpin Tang, Xun Yu Zhou
We study timestep allocation for score-based diffusion sampling, where a learned reverse-time dynamics is discretized on a finite grid. Uniform and hand-crafted schedules are stand…
stat.ML2026
Sample Complexity of Transfer Learning: An Optimal Transport Approach
Haoyang Cao, Xin Guo, Wenpin Tang +1
Transfer learning is an essential technique for many machine learning/AI models of complex structures such as large language models and generative AI. The essence of transfer learn…
stat.ML2026
Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
Wenpin Tang, Nizar Touzi, Zikun Zhang +1
Diffusion models have achieved remarkable success in generating samples from unknown data distributions. Most popular stochastic differential equation-based diffusion models pertur…