Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy 08/08/2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’23) Nathanael Jo, Sina Aghaei, Jack Benson, Andres Gomez, Phebe Vayanos https://arxiv.org/pdf/2201.09932.pdf
Strong Optimal Classification Trees 07/18/2023 Under Review at Operations Research Sina Aghaei, Andres Gomez, Phebe Vayanos http://www.optimization-online.org/DB_FILE/2021/01/8220.pdf
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information 07/18/2023 under review Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian https://arxiv.org/abs/2307.08964
Who Supports the Troops? Social Support Domains and Sources in Active Duty Army Networks 07/17/2023 Armed Forces & Society Nicholas Barr, Laura Petry, Anthony Fulginiti, Anil Arora, Julie Cederbaum, Carl Castro, Eric Rice https://journals.sagepub.com/doi/abs/10.1177/0095327X231182907
Moccasin: Efficient Tensor Rematerialization for Neural Networks 05/30/2023 ICML 2023 Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina https://urldefense.com/v3/__https://arxiv.org/abs/2304.14463__;!!LIr3w8kk_Xxm!svoYK5MkKJNjvVL3sirL3tufwl5qX4nkAyYXffr1t-hTRjSkYfXWv9978RaNx6UpDxyxyFGTybdd4EoHJRI$
Learning Optimal Fair Decision Trees: Trade-offs between Interpretability, Fairness, Accuracy 05/06/2023 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society. August 8–10, 2023 Nathanael Jo, Sina Aghaei, Jack Benson, Andres Gomez, Phebe Vayanos https://urldefense.com/v3/__https://arxiv.org/pdf/2201.09932.pdf__;!!LIr3w8kk_Xxm!qX76YP6KwTqu7nQgX9VfOiVPLsyzcUh1shL21-Ys19HtDlkkqCLnuTh4bZg-r4dvA4dn0g54T76fRkWtjbU$
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems 07/03/2023 Proceedings of the 40th International Conference on Machine Learning Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian https://proceedings.mlr.press/v202/ferber23a.html
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning 07/03/2023 Proceedings of the 40th International Conference on Machine Learning Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner https://proceedings.mlr.press/v202/huang23g.html
Deadline-aware multi-agent tour planning 07/01/2023 Proceedings of the International Conference on Automated Planning and Scheduling Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig https://ojs.aaai.org/index.php/ICAPS/article/view/27194
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results 06/26/2023 Proceedings of the AAAI Conference on Artificial Intelligence Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos https://ojs.aaai.org/index.php/AAAI/article/view/26397