All regular talks are 20 minutes + 5 minutes Q&A. 

19 September (14:00-18:00)

14:00 - 14:05 Opening

14:05 - 15:45 Session 1 

• LLMs can schedule, by Henrik Abgaryan (PSL DAUPHINE); Tristan Cazenave (PSL DAUPHINE ); Ararat Harutyunyan (PSL DAUPHINE )

• Simulating classification models to evaluate Predict-Then-Optimize methods, by Pieter Smet (KU Leuven)

• Hyperparameter and Neural Architecture Search via Evolutionary Optimization for Reinforcement Learning: HPNAS-RL, by Nihal Acharya Adde (Volkswagen AG); Hanno Gottschalk (TU-Berlin)

• Offline Reinforcement Learning for Scheduling: Learning from Limited and Sub-Optimal Data, Jesse van Remmerden (TU Eindhoven); Zaharah Bukhsh (TU Eindhoven); Yingqian Zhang (TU Eindhoven)

15:45 - 16:30 Keynote Speech:  Towards Foundation Models for Solving Vehicle Routing Problems, by Zhiguang Cao (Singapore Management University, Singapore)

16:30 - 17:00 Coffee Break

17:00-17:50 Session 2: 

• On the Impact of Weight Discretization in QUBO-Based SVM Training, Sascha Mücke (TU Dortmund)

• Pareto Multi-Objective Alignment for Language Models, Qiang He (Ruhr University, Bochum); Setareh Maghsudi (Ruhr University, Bochum)

17:50 - 18:00 Closing