3 papers
cs.LG2026
Information Routing across Batch Boundaries: Memory--Batch Tradeoffs in Lipschitz Bandits
Zicheng Lyu, Zengfeng Huang
Adaptive learning needs both a state that preserves what observations imply and opportunities to act on that state. We study this width--depth tradeoff in stochastic Lipschitz band…
cs.LG2026
Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers
Zicheng Lyu, Zengfeng Huang
Many Wasserstein analyses of diffusion samplers control reverse-time propagation by global stability summaries of the learned drift. These summaries can hide radial geometry: equal…
cs.LG2025
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
Lu Yi, Jie Peng, Yanping Zheng +5
Future link prediction is a fundamental challenge in various real-world dynamic systems. To address this, numerous temporal graph neural networks (temporal GNNs) and benchmark data…