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Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems



Sanket Shah , Bryan Wilder , Andrew Perrault , Milind Tambe


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Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling



Kai Wang , Bryan Wilder , Sze-chuan Suen , Bistra Dilkina , Milind Tambe


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End-to-End Constrained Optimization Learning: A Survey



James Kotary , Ferdinando Fioretto , Pascal Van Hentenryck , Bryan Wilder


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Tracking disease outbreaks from sparse data with Bayesian inference



Bryan Wilder , Michael J. Mina , Milind Tambe


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Automatically Learning Compact Quality-aware Surrogates for Optimization Problems



Kai Wang , Bryan Wilder , Andrew Perrault , Milind Tambe


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Fuzzy c-Means Clustering for Persistence Diagrams



Thomas O. M. Davies , Jack Aspinall , Bryan Wilder , Long Tran-Thanh

* 17 pages, 3 figures, 7 tables. Resubmission corrected typos 

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Learning to Complement Humans



Bryan Wilder , Eric Horvitz , Ece Kamar

* Accepted at IJCAI 2020 

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MIPaaL: Mixed Integer Program as a Layer



Aaron Ferber , Bryan Wilder , Bistra Dilkina , Milind Tambe


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