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cs.LG2026
Accelerating Diffusion Sampling via Speculative Draft Trees
Marcello Bullo, Yanxiao Liu, Öykü Sıla Güner +2
Speculative sampling accelerates diffusion model generation by drafting inexpensive candidate states and correcting them under a coupling that preserves the target distribution exa…
cs.LG2025
SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences
Arpan Mukherjee, Marcello Bullo, Deniz Gündüz
Uniform-reward reinforcement learning from human feedback (RLHF), which trains a single reward model to represent the preferences of all annotators, fails to capture the diversity…