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
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
07/01/2023
Revise and resubmit at Journal of Machine Learning Research
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
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
07/03/2023
Proceedings of the 40th International Conference on Machine Learning
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
07/03/2023
Proceedings of the 40th International Conference on Machine Learning
Deadline-aware multi-agent tour planning
07/01/2023
Proceedings of the International Conference on Automated Planning and Scheduling
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
06/26/2023
Proceedings of the AAAI Conference on Artificial Intelligence
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.
A Learning Approach to Complex Contagion Influence Maximization
05/30/2023
Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems
