2 papers
cs.LG2025
SPRINT: Stochastic Performative Prediction With Variance Reduction
Tian Xie, Ding Zhu, Jia Liu +2
Performative prediction (PP) is an algorithmic framework for optimizing machine learning (ML) models where the model's deployment affects the distribution of the data it is trained…
cs.CE2024
DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction
Chengqi Dong, Zhiyuan Cao, S Kevin Zhou +1
Stock price prediction is of significant importance in quantitative investment. Existing approaches encounter two primary issues: First, they often overlook the crucial role of cap…