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stat.ML2026
Randomized Midpoint Method for Log-Concave Sampling under Constraints
Yifeng Yu, Shijie Zhang, Lu Yu
In this paper, we study the problem of sampling from log-concave distributions supported on convex and compact sets, with a particular focus on the randomized midpoint discretizati…
stat.ML2026
On the Limits of Latent Reuse in Diffusion Models
Yifeng Yu, Lu Yu
Diffusion models are often trained in low-dimensional latent spaces, which are then reused for related but shifted datasets. In this work, we study when such latent reuse remains r…
stat.ML2025
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Yifeng Yu, Lu Yu
Score-based diffusion models have emerged as powerful tools in generative modeling, yet their theoretical foundations remain underexplored. In this work, we focus on the Wasserstei…