Hyunglip Bae

According to our database, Hyunglip Bae authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Prediction Loss Guided Decision-Focused Learning.

Haeun Jeon, Hyunglip Bae, Chanyeong Kim, Yongjae Lee, Woo Chang Kim

CoRR, September, 2025

Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models.

Junhyeong Lee, Haeun Jeon, Hyunglip Bae, Yongjae Lee

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Locally Convex Global Loss Network for Decision-Focused Learning.

Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ICLN: Input Convex Loss Network for Decision Focused Learning.

Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim

CoRR, 2024

2023

Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization.

Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim

Proceedings of the International Conference on Machine Learning, 2023

Deep Value Function Networks for Large-Scale Multistage Stochastic Programs.

Hyunglip Bae, Jinkyu Lee, Woo Chang Kim, Yongjae Lee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023