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Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback
Decision-focused on-policy learning for sequential contextual linear optimization under partial feedback.
Wyame Benslimane, Tinghan Ye, Pascal Van Hentenryck, Paul Grigas
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Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
LLM-guided model patches and a re-optimization toolbox for adapting deployed large-scale optimization models.
Tinghan Ye, Arnaud Deza, Ved Mohan, El Mehdi Er Raqabi, Pascal Van Hentenryck
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HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
A Hawkes-process-guided framework for semantic uncertainty propagation in agentic text simulation.
Zewei Deng, Tinghan Ye, Liyan Xie
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Deep Learning-Driven Contextual Stochastic Optimization for Real-Time Order Fulfillment
Deep learning-driven contextual stochastic optimization for real-time order fulfillment.
Tinghan Ye, Shuaicheng Tong, Changkun Guan, Beste Basciftci, Pascal Van Hentenryck
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