Aaron M. Ferber

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Traveling Salesman

Integer Program

Top Venues

Publications

Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina
Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. CoRR (2024)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP (2024)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. CoRR (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Local Branching Relaxation Heuristics for Integer Linear Programs. CPAIOR (2023)
Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore
Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. CPAIOR (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. ICML (2023)
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. NeurIPS (2023)
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. CoRR (2023)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR (2023)
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. CoRR (2023)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR (2022)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR (2022)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Local Branching Relaxation Heuristics for Integer Linear Programs. CoRR (2022)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR (2021)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI (2021)
Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson
Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems. Math. Oper. Res. 45 (2) (2020)
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
MIPaaL: Mixed Integer Program as a Layer. AAAI (2020)
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
MIPaaL: Mixed Integer Program as a Layer. CoRR (2019)
Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson
Prize-Collecting TSP with a Budget Constraint. ESA (2017)