Aaron M. Ferber

According to our database, Aaron M. Ferber authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods.

Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina

CoRR, 2024

Contrastive Predict-and-Search for Mixed Integer Linear Programs.

Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GenCO: Generating Diverse Designs with Combinatorial Constraints.

Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Lagrangian Multipliers for the Travelling Salesman Problem.

Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau

Proceedings of the 30th International Conference on Principles and Practice of Constraint Programming, 2024

2023

GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature.

Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

CoRR, 2023

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

Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning.

Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

Proceedings of the International Conference on Machine Learning, 2023

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems.

Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

Proceedings of the International Conference on Machine Learning, 2023

Local Branching Relaxation Heuristics for Integer Linear Programs.

Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths.

Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2021

Learning Pseudo-Backdoors for Mixed Integer Programs.

Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.

Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems.

Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson

Math. Oper. Res., 2020

MIPaaL: Mixed Integer Program as a Layer.

Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017

Prize-Collecting TSP with a Budget Constraint.

Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson

Proceedings of the 25th Annual European Symposium on Algorithms, 2017