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cs.LG2026
Memory--Batch Tradeoffs in Lipschitz Bandits
Zicheng Lyu, Zengfeng Huang
Lipschitz bandits admit near-optimal regret with little memory under full adaptivity, or with few batches under unrestricted memory. We characteri…
cs.LG2026
Few Batches or Little Memory, But Not Both: Simultaneous Space and Adaptivity Constraints in Stochastic Bandits
Ruiyuan Huang, Zicheng Lyu, Xiaoyi Zhu +1
We study stochastic multi-armed bandits under simultaneous constraints on space and adaptivity: the learner interacts with the environment in batches and has only bits of p…
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…