2 papers
math.OC2026
Contextual Scenario Generation for Two-Stage Stochastic Programming
David Islip, Roy H. Kwon, Sanghyeon Bae +1
Two-stage stochastic programs (2SPs) are widely used for decision-making under uncertainty, but their practical deployment is often limited by the large number of scenarios needed…
cs.IR2025
Mean-Variance Efficient Collaborative Filtering for Stock Recommendation
Munki Chung, Junhyeong Lee, Yongjae Lee +1
The rise of FinTech has transformed financial services online, yet stock recommender systems have received limited attention. Personalized stock recommendations can significantly i…