3 papers
math.OC2026
Accelerating Single-Point Zeroth-Order Optimization with Regression-Based Gradient Surrogates
Xin Chen, Zhaolin Ren
Zeroth-order optimization (ZO) is widely used for solving black-box optimization and control problems. In particular, single-point ZO (SZO) is well-suited to online or dynamic prob…
stat.ME2026
Model-Free Inference for Characterizing Protein Mutations through a Coevolutionary Lens
Fan Yang, Zhao Ren, Wen Zhou +2
Multiple sequence alignment (MSA) data play a crucial role in the study of protein mutations, with contact prediction being a notable application. Existing methods are often model-…
stat.ME2025
Modeling and prediction of mutation fitness on protein functionality with structural information using high-dimensional Potts model
Bingying Dai, Yinan Lin, Kejue Jia +2
Quantifying the effects of amino acid mutations in proteins presents a significant challenge due to the vast combinations of residue sites and amino acid types, making experimental…