| 2026 | AAAI | Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System. | Ananya Joshi, Nolan Gormley, Richa Gadgil, Catalina Vajiac, Tina Townes, Roni Rosenfeld, Bryan Wilder |
| 2025 | COLT | Orthogonal Causal Calibration (Extended Abstract). | Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu |
| 2025 | EMNLP | Predicting Language Models' Success at Zero-Shot Probabilistic Prediction. | Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patio, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder |
| 2025 | ICLR | Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification. | Santiago Cortes-Gomez, Carlos Miguel Patio, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder |
| 2025 | ICLR | Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources. | Vibhhu Sharma, Bryan Wilder |
| 2025 | ICLR | Reinforcement learning with combinatorial actions for coupled restless bandits. | Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe |
| 2025 | ICML | Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects. | Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh, Bryan Wilder |
| 2025 | UAI | Dependent Randomized Rounding for Budget Constrained Experimental Design. | Khurram Yamin, Edward Kennedy, Bryan Wilder |
| 2024 | AAAI | Outlier Ranking for Large-Scale Public Health Data. | Ananya Joshi, Tina Townes, Nolan Gormley, Luke Neureiter, Roni Rosenfeld, Bryan Wilder |
| 2024 | AAAI | Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. | Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe |
| 2024 | AISTATS | Auditing Fairness under Unobserved Confounding. | Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder |
| 2024 | ICML | Statistical Inference Under Constrained Selection Bias. | Santiago Cortes-Gomez, Mateo Dulce-Rubio, Carlos Miguel Patio, Bryan Wilder |
| 2024 | UAI | Decision-Focused Evaluation of Worst-Case Distribution Shift. | Kevin Ren, Yewon Byun, Bryan Wilder |
| 2023 | AAAI | AI for Equitable, Data-Driven Decisions in Public Health. | Bryan Wilder |
| 2023 | AISTATS | Ideal Abstractions for Decision-Focused Learning. | Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz |
| 2023 | ICML | Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. | Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe |
| 2023 | IJCAI | Computationally Assisted Quality Control for Public Health Data Streams. | Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder |
| 2023 | IJCAI | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2021 | AAAI | Tracking Disease Outbreaks from Sparse Data with Bayesian Inference. | Bryan Wilder, Michael J. Mina, Milind Tambe |
| 2021 | AAAI | Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. | Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe |
| 2021 | IJCAI | End-to-End Constrained Optimization Learning: A Survey. | James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder |
| 2020 | AAAI | MIPaaL: Mixed Integer Program as a Layer. | Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | End-to-End Game-Focused Learning of Adversary Behavior in Security Games. | Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe |
| 2020 | IJCAI | Learning to Complement Humans. | Bryan Wilder, Eric Horvitz, Ece Kamar |
| 2019 | AAAI | Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. | Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2019 | AAAI | Defending Elections against Malicious Spread of Misinformation. | Bryan Wilder, Yevgeniy Vorobeychik |
| 2019 | AISTATS | Distributionally Robust Submodular Maximization. | Matthew Staib, Bryan Wilder, Stefanie Jegelka |
| 2019 | ICML | SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. | Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter |
| 2019 | IJCAI | Group-Fairness in Influence Maximization. | Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick |
| 2019 | IJCAI | AI at the Margins: Data, Decisions, and Inclusive Social Impact. | Bryan Wilder |
| 2019 | KDD | Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. | Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe |
| 2018 | AAAI | Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure. | Bryan Wilder |
| 2018 | AAAI | Risk-Sensitive Submodular Optimization. | Bryan Wilder |
| 2018 | AAAI | Maximizing Influence in an Unknown Social Network. | Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe |
| 2018 | AAAI | Preventing Infectious Disease in Dynamic Populations Under Uncertainty. | Bryan Wilder, Sze-Chuan Suen, Milind Tambe |
| 2018 | AAAI | Preventing Infectious Disease in Dynamic Populations Under Uncertainty. | Bryan Wilder, Sze-Chuan Suen, Milind Tambe |
| 2018 | AIES | Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. | Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe |
| 2018 | CPAIOR | Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. | Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe |
| 2018 | IJCAI | Algorithmic Social Intervention. | Bryan Wilder |
| 2018 | IJCAI | End to end influence maximization for HIV prevention. | Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice |
| 2018 | IJCAI | Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. | Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo |
| 2017 | IJCAI | Influence Maximization with an Unknown Network by Exploiting Community Structure. | Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe |
| 2016 | ECAI | Toward Addressing Collusion Among Human Adversaries in Security Games. | Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe |