Search Results for author: Aaron Ferber

Found 6 papers, 1 papers with code

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information

1 code implementation18 Jul 2023 Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

The implicit approach may not require optimal solutions as labels and is capable of handling problem uncertainty; however, it is slow to train and deploy due to frequent calls to optimizer $\mathbf{g}$ during both training and testing.

Portfolio Optimization

SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems

no code implementations22 Oct 2022 Aaron Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

Optimization problems with nonlinear cost functions and combinatorial constraints appear in many real-world applications but remain challenging to solve efficiently compared to their linear counterparts.

Combinatorial Optimization

Learning Pseudo-Backdoors for Mixed Integer Programs

no code implementations9 Jun 2021 Aaron Ferber, Jialin Song, Bistra Dilkina, Yisong Yue

In addition, we compare our learned approach against Gurobi, a state-of-the-art MIP solver, demonstrating that our method can be used to improve solver performance.

Combinatorial Optimization

MIPaaL: Mixed Integer Program as a Layer

no code implementations12 Jul 2019 Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe

It has been successfully applied to several limited combinatorial problem classes, such as those that can be expressed as linear programs (LP), and submodular optimization.

Decision Making

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