2 papers
stat.ME2025
Robust Variational Bayes by Min-Max Median Aggregation
Jiawei Yan, Ju Liu, Weidong Liu +1
We propose a robust and scalable variational Bayes (VB) framework designed to effectively handle contamination and outliers in dataset. Our approach partitions the data into di…
cs.CL2024
OneBit: Towards Extremely Low-bit Large Language Models
Yuzhuang Xu, Xu Han, Zonghan Yang +5
Model quantification uses low bit-width values to represent the weight matrices of existing models to be quantized, which is a promising approach to reduce both storage and computa…