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$
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription 07/01/2023 Revise and resubmit at Journal of Machine Learning Research Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos https://arxiv.org/abs/2307.15691
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment 07/01/2023 Under review at Management Science Bill Tang, Cagil Kocyigit, Eric Rice, Phebe Vayanos https://arxiv.org/pdf/2311.13765.pdf
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
Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization 06/06/2023 Under review for publication in Proceedings of the ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'23), 2023. Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos https://arxiv.org/abs/2306.04061
A Learning Approach to Complex Contagion Influence Maximization 05/30/2023 Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe https://personal.ntu.edu.sg/boan/papers/AAMAS23-IM.pdf
Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths 05/23/2023 International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research Aaron Ferber, Emily Griffin, Bistra Dilkina, Burcu Keskin, Meredith Gore https://link.springer.com/chapter/10.1007/978-3-031-33271-5_30