Author

Fang-Hui Liu

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#machine learning Preprint Sep 2026

Compute-Optimal Pretrain--Fine-tune in Ridge Gradient Descent

Pretraining followed by fine-tuning introduces a compute-allocation problem: under a fixed training budget, compute spent improving the upstream objective reduces the compute available for downstream adaptation. Despite its practical importance, this trade-off is not yet well understood theoretically, even in simple mo...

Alex Buna, Fang-Hui Liu, Patrick Rebeschini · 0 citations

#machine learning Preprint Sep 2026

Principal-timestep Restricted Init via Sparse Matrix-decomposition in Flow-matching

Flow-matching diffusion models have recently emerged as a strong paradigm for high-fidelity visual generation. However, their prohibitively high fine-tuning cost limits scalability to downstream tasks. While Low-Rank Adaptation (LoRA) combined with spectral initialization has demonstrated accelerated convergence and im...

Jian-Yang Gu, Zheng Fang, Li-Chuan Xiang et al. · 0 citations