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#machine learning Preprint Sep 2026

Sharp Convergence and Sampling Trade-offs for Riemannian Diffusion under Nonnegative Ricci Curvature

Diffusion models have emerged as state-of-the-art generative models, with recent extensions from Euclidean spaces to Riemannian manifolds. However, existing convergence guarantees for Riemannian diffusion models typically require $\tilde{O}(\mathrm{poly}(d,T)/\epsilon^2)$ score evaluations, with potentially unfavorable...

Yu-Hao Liu, Long-Bo Huang · 0 citations
Preprint Aug 2026

Lipschitz Bandits with Arbitrary Feedback Delays

The Lipschitz bandit problem extends the traditional multi-armed bandit framework to continuous action spaces by assuming that the reward functions satisfy a Lipschitz condition. This work investigates Lipschitz bandits under arbitrary feedback delays, where reward signals are not received immediately upon taking an ac...

Yuhao Liu, Yu Chen, Longbo Huang · 0 citations

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