2 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models
Junhyeong Lee, Haeun Jeon, Hyunglip Bae +1
Markowitz laid the foundation of portfolio theory through the mean-variance optimization (MVO) framework. However, the effectiveness of MVO is contingent on the precise estimation…
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
Chanyeong Kim, Jongwoong Park, Hyunglip Bae +1
Solving large-scale multistage stochastic programming (MSP) problems poses a significant challenge as commonly used stagewise decomposition algorithms, including stochastic dual dy…
Locally Convex Global Loss Network for Decision-Focused Learning
Haeun Jeon, Hyunglip Bae, Minsu Park +2
In decision-making problems under uncertainty, predicting unknown parameters is often considered independent of the optimization part. Decision-focused learning (DFL) is a task-ori…