2 papers
cs.LG2026
SubZero+: Efficient Zeroth-Order LLM Fine-Tuning via Large Learning Rates
Ziming Yu, Shuyao Xiao, Xingyu Zhao +6
Zeroth-order (ZO) optimization enables backpropagation-free fine-tuning of large language models, but existing ZO methods suffer from high-variance gradient estimators, making conv…
math.CA2026
Fractal Uncertainty and Quantitative Uniqueness for the Fourier Bessel Transform
Xingyu Zhao, Longben Wei, Zhiwen Duan
We establish quantitative uniqueness and a fractal uncertainty principle for the Fourier Bessel transform. In arbitrary dimension, we prove a quantitative uniqueness estimate on re…