2 papers
cs.LG2026
Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong +4
Hierarchical time-series forecasting is essential for demand prediction across various industries. While machine learning models have obtained significant accuracy and scalability…
math.OC2024
Wasserstein gradient flow for optimal probability measure decomposition
Jiangze Han, Christopher Thomas Ryan, Xin T. Tong
We examine the infinite-dimensional optimization problem of finding a decomposition of a probability measure into K probability sub-measures to minimize specific loss functions ins…