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Workshop
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The Art of Knowing When to Stop: Analysis of Optimal Stopping in People and Machines
Fukun Zhang · Bonan Zhao
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Workshop
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Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
Yangzhen Wu · Zhiqing Sun · Shanda Li · Sean Welleck · Yiming Yang
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Workshop
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A Continuous Variable Optimization method for the Quadratic Assignment Problem
Aron Vizkeleti · Timothee Leleu
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Workshop
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Genetic Curriculum Learning for Distribution Generalization on the Travelling Salesman Problem
Michael Li · Christopher Haberland · Natasha Jaques
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Poster
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StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
Chang Gao · Haiyun Jiang · Deng Cai · Shuming Shi · Wai Lam
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Poster
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Wed 11:00
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Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi · Yining Ma · Jianan Zhou · Wen Song · Zhiguang Cao · Yaoxin Wu · Jie Zhang
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Poster
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Wed 11:00
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Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem
Huaqing Zhang · Lesi Chen · Jing Xu · Jingzhao Zhang
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Poster
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Thu 11:00
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HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
Joseph Cotnareanu · Zhanguang Zhang · Hui-Ling Zhen · Yingxue Zhang · Mark Coates
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Workshop
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Bayesian Optimization for High-dimensional Urban Mobility Problems
Seongjin Choi · Sergio Rodriguez · Carolina Osorio
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Poster
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Wed 16:30
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Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou · Yaoxin Wu · Zhiguang Cao · Wen Song · Jie Zhang · Zhiqi Shen
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Poster
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Fri 11:00
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Solving Inverse Problems via Diffusion Optimal Control
Henry Li · Marcus Pereira
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Poster
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Thu 16:30
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UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
Zhi Zheng · Changliang Zhou · Tong Xialiang · Mingxuan Yuan · Zhenkun Wang
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