From the 1 of 4 linked papers with an AI index.
4 papers
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters
Fangxin Wang, Ziyi Zhang, Diyi Zhuang +4
Frozen pretrained forecasters often fail in structured, recurring ways that are costly to repair through fine-tuning. We study corrective feature discovery: mining interpretable fe…
Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation
Zhengzhong Ricky You, Bo Tang, Haoran Liu +1
The paper proposes a learning framework called L-PDDOIs that predicts pairwise orderings of dual variables to create deep dual-optimal inequalities, which stabilize column generati…
Online Linear Programming with Replenishment
Yuze Chen, Yuan Zhou, Baichuan Mo +3
We study an online linear programming (OLP) model in which inventory is not provided upfront but instead arrives gradually through an exogenous stochastic replenishment process. Th…
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang, Jiawei Li, Xiaoming Shi +6
Time series analysis plays a critical role in numerous applications, supporting tasks such as forecasting, classification, anomaly detection, and imputation. In this work, we prese…