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21 Results
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Poster
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Wed 14:00 |
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger · Lantao Yu · Shengjia Zhao · Chenlin Meng · Stefano Ermon |
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Poster
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Tue 14:00 |
Data-Driven Offline Decision-Making via Invariant Representation Learning Han Qi · Yi Su · Aviral Kumar · Sergey Levine |
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Poster
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Thu 9:00 |
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik |
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Poster
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Optimizing Data Collection for Machine Learning Rafid Mahmood · James Lucas · Jose M. Alvarez · Sanja Fidler · Marc Law |
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Poster
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Wed 9:00 |
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses Sanket Shah · Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe |
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Poster
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Tue 14:00 |
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources Peter Lippmann · Enrique Fita Sanmartín · Fred Hamprecht |
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Poster
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Tue 9:00 |
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces Alexander Thebelt · Calvin Tsay · Robert Lee · Nathan Sudermann-Merx · David Walz · Behrang Shafei · Ruth Misener |
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Poster
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Thu 14:00 |
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo · Yeong-Dae Kwon · Jihoon Kim · Jeongwoo Jae · André Hottung · Kevin Tierney · Youngjune Gwon |
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Poster
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Tue 14:00 |
End-to-end Stochastic Optimization with Energy-based Model Lingkai Kong · Jiaming Cui · Yuchen Zhuang · Rui Feng · B. Aditya Prakash · Chao Zhang |