Publications

• Bryan Wilder, Pim Welle.
  Learning treatment effects while treating those in need.
  [Preprint].
  Nonarchival version at 2024 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)

• Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu.
  Orthogonal Causal Calibration.
  [Preprint].

• Santiago Cortes-Gomez, Carlos Patino, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder.
  Decision-Focused Uncertainty Quantification.
  [Preprint].

• Khurram Yamin, Vibhhu Sharma, Ed Kennedy, Bryan Wilder.
  Accounting for Missing Covariates in Heterogeneous Treatment Estimation.
  [Preprint].

• Ruiqi Lyu, Roni Rosenfeld, Bryan Wilder.
  Federated Epidemic Surveillance.
  [Preprint].

• Santiago Cortes-Gomez, Naveen Raman, Aarti Singh, and Bryan Wilder.
  Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects.
  [Preprint].

• Tamar Krishnamurti, Samantha Rodriguez, Bryan Wilder, Priya Gopalan, Hyagriv N. Simhan.
  Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.
  Archives of Women’s Mental Health. 2024. [Link]

• Santiago Cortes-Gomez, Mateo Dulce, Carlos Patino, Bryan Wilder.
  Statistical Inference Under Constrained Selection Bias.
  ICML-24. International Conference on Machine Learning. 2024. [arXiv]

• Kevin Ren, Yewon Byun, Bryan Wilder.
  Decision-Focused Evaluation of Worst-Case Distribution Shift.
  UAI-24. Conference on Uncertainty in Artificial Intelligence. 2024. [arXiv]

• Auditing Fairness under Unobserved Confounding.
  Yewon Byun, Dylan Sam, Michael Oberst, Zachary Lipton, Bryan Wilder.
  AISTATS-24. International Conference on Artificial Intelligence and Statistics. 2024. [arXiv]

• Ananya Joshi, Tina Townes, Nolan Gormley, Luke Neurieter, Roni Rosenfeld, Bryan Wilder.
  Outlier Ranking For Large-Scale Public Health Data.
  AAAI-24. AAAI Conference on Artificial Intelligence. 2024. [Link]

• Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe.
  Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize.
  AAAI-24. AAAI Conference on Artificial Intelligence. 2024. [arXiv]

• Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas.
  Auditing Fairness by Betting.
  NeurIPS-23. Advances in Neural and Information Processing Systems. 2023. [arXiv]
  Spotlight presentation

• Ananya Joshi, Roni Rosenfeld, Bryan Wilder.
  Computationally Assisted Quality Control for Public Health Data Streams.
  IJCAI-23. International Joint Conference on Artificial Intelligence. 2023. [arXiv]

• Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe.
  Complex Contagion Influence Maximization: A Reinforcement Learning Approach.
  IJCAI-23. International Joint Conference on Artificial Intelligence. 2023.

• Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe.
  Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation.
  ICML-23. International Conference on Machine Learning. 2023. [arXiv]

• Bryan Wilder, Clara Pons-Duran, Frederick G. B. Goddard, Bezawit Mesfin Hunegnaw, Sebastien Haneuse, Delayehu Bekele, Grace J. Chan.
  Development of Prediction Models for Antenatal Care Attendance in Amhara Region, Ethiopia.
  JAMA Network Open. 2023. [Link]

• Clara Pons-Duran, Bryan Wilder, Bezawit Mesfin Hunegnaw, Sebastien Haneuse, Frederick G. B. Goddard, Delayehu Bekele, Grace J. Chan.
  Development of risk prediction models for preterm delivery in a rural setting in Ethiopia.
  Journal of Global Health. 2023. [Link]

• Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz.
  Ideal Abstractions for Decision-Focused Learning.
  AISTATS-23. International Conference on Artificial Intelligence and Statistics. 2023. [arXiv]

• Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe.
  Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. [arXiv]
  NeurIPS-22. Advances in Neural and Information Processing Systems. 2022.

• Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe.
  Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. [arXiv]
  AAAI-21. AAAI Conference on Artificial Intelligence. 2021.

• Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung-Jae Lee, Milind Tambe.
  A Peer-Led, Artificial Intelligence–Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness. [Link]
  Journal of Acquired Immune Deficiency Syndromes. 2021.

• Bryan Wilder, Michael J. Mina, Milind Tambe.
  Tracking disease outbreaks from sparse data with Bayesian inference. [arXiv] [code]
  AAAI-21. AAAI Conference on Artificial Intelligence. 2021.

• Daniel B. Larremore, Bryan Wilder, Evan Lester, Soraya Shehata, James M. Burke, James A. Hay, Milind Tambe, Michael J. Mina, Roy Parker.
  Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance. [Link]
  Science Advances. 2020.

• Bryan Wilder, Marie Charpignon, Jackson A. Killian, Han-Ching Ou, Aditya Mate, Shahin Jabbari, Andrew Perrault, Angel Desai, Milind Tambe, Maimuna S. Majumder.
  Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City. [Link]
  Proceedings of the National Academy of Sciences. 2020.

• Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe.
  Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. [arXiv]
  NeurIPS-20. Advances in Neural and Information Processing Systems. 2020.
  Spotlight presentation

• Bryan Wilder, Eric Horvitz, Ece Kamar.
  Learning to Complement Humans. [PDF].
  IJCAI-20. International Joint Conference on Artificial Intelligence. 2020.

• Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
  Influence maximization in unknown social networks: Learning policies for effective graph sampling. [arXiv].
  AAMAS-20. International Conference on Autonomous Agents and Multiagent Systems. 2020.
  Nominated for best paper at AAMAS 2020

• Bryan Wilder, Sze-chuan Suen, Milind Tambe.
  Allocating outreach resources for disease control in a dynamic population with information spread. [Link]
  IISE Transactions. 2020.
  Honorable Mention for 2021 Best Application Paper in IISE Transactions
  Supercedes the AAAI-18 paper.

• Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
  MIPaaL: Mixed Integer Program as a Layer. [arXiv].
  AAAI-20. AAAI Conference on Artificial Intelligence. 2020.

• Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
  Decision-Focused Learning of Adversary Behavior in Security Games. [arXiv].
  AAAI-20. AAAI Conference on Artificial Intelligence. 2020.

• Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe.
  End to End Learning and Optimization on Graphs. [arXiv][code][slides].
  NeurIPS-19. Advances in Neural and Information Processing Systems. 2019.

• Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe.
  Exploring Algorithmic Fairness in Robust Graph Covering Problems.
  NeurIPS-19. Advances in Neural and Information Processing Systems. 2019.

• Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter.
  SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. [PDF].
  ICML-19. International Conference on Machine Learning. 2019.
  Honorable mention for best paper at ICML 2019

• Alan Tsang*, Bryan Wilder*, Eric Rice, Milind Tambe, Yair Zick.
  Group-Fairness in Influence Maximization. [arXiv][code].
  IJCAI-19. International Joint Conference on Artificial Intelligence. 2019.
  *Equal contribution.

• Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe.
  Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. [arXiv].
  KDD-19. ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2019.

• Matthew Staib*, Bryan Wilder*, Stefanie Jegelka.
  Distributionally Robust Submodular Maximization. [arXiv].
  AISTATS-19. International Conference on Artificial Intelligence and Statistics. 2019.
  *Equal contribution.

• Bryan Wilder, Bistra Dilkina, Milind Tambe.
  Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. [PDF] [arXiv][code][datasets].
  AAAI-19. AAAI Conference on Artificial Intelligence. 2019.

• Bryan Wilder, Yevgeniy Vorobeychik.
  Defending Elections Against Malicious Spread of Misinformation. [PDF] [arXiv][code].
  AAAI-19. AAAI Conference on Artificial Intelligence. 2019.

• Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe.
  Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. [PDF]
  CPAIOR-18. International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 2018.
  Invited to Constraints journal fast track for outstanding papers

• Eric Rice, Robin Petering, Amanda Yoshioka-Maxwell, Jaih Craddock, Darlene Woo, Nicole Wilson, Laura Onasch-Vera, Bryan Wilder, Amulya Yadav, Milind Tambe.
  Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness. [Link]
  Journal of the Society for Social Work and Research. 2018.

• Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice.
  End-to-End Influence Maximization in the Field. [PDF]
  AAMAS-18. International Conference on Autonomous Agents and Multiagent Systems. 2018.
  Nominated for best student paper

• Bryan Wilder, Han Ching Ou, Kayla de la Haye, Milind Tambe.
  Optimizing network structure for preventative health. [PDF]
  AAMAS-18. International Conference on Autonomous Agents and Multiagent Systems. 2018.

• Bryan Wilder, Yevgeniy Vorobeychik.
  Controlling Elections through Social Influence. [arXiv] [PDF] [Supplement]
  AAMAS-18. International Conference on Autonomous Agents and Multiagent Systems. 2018.

• Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, and Milind Tambe.
  Activating the “Breakfast Club”: Modeling Influence Spread in Natural-World Social Networks. [arXiv]
  AAMAS-18. International Conference on Autonomous Agents and Multiagent Systems. 2018.

• Bryan Wilder, Sze-Chuan Suen, Milind Tambe.
  Preventing infectious disease in dynamic populations under uncertainty. [PDF] [Supplement]
  AAAI-18. AAAI Conference on Artificial Intelligence. 2018.

• Bryan Wilder.
  Equilibrium computation and robust optimization in zero sum games with submodular structure. [arXiv] [Code]
  AAAI-18. AAAI Conference on Artificial Intelligence. 2018.

• Bryan Wilder.
  Risk-sensitive submodular optimization. [PDF] [Supplement] [Code]
  AAAI-18. AAAI Conference on Artificial Intelligence. 2018.

• Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe.
  Maximizing influence in an unknown social network. [PDF] [Supplement]
  AAAI-18. AAAI Conference on Artificial Intelligence. 2018.

• Amulya Yadav, Bryan Wilder, Robin Petering, Eric Rice, Milind Tambe.
  Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. [PDF]
  AAMAS-17. International Conference on Autonomous Agents and Multiagent Systems. 2017.
  Nominated for Best Paper (7 out of 288 papers)

• Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe.
  Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. [PDF] [Supplement]
  AAMAS-17. International Conference on Autonomous Agents and Multiagent Systems. 2017.

• Anne Kandler, Bryan Wilder, Laura Fortunato.
  Inferring individual-level processes from population-level patterns in cultural evolution. [Full text] [Code]
  Royal Society Open Science. 2017.

• Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe.
  Divide to Defend: Collusive Security Games.
  GameSec-16. Conference on Decision and Game Theory for Security. 2016.

• Bryan Wilder and Gita Sukthankar.
  Sparsification of Social Networks Using Random Walks. [PDF] [Code]
  SocialCom-15. International Conference on Social Computation. 2015.

• Bryan Wilder and Anne Kandler.
  Inference of Cultural Transmission Modes Based on Incomplete Information. [PDF]
  Human Biology. 2015.

• Bryan Wilder and Kenneth O. Stanley.
  Reconciling Explanations for the Evolution of Evolvability. [PDF]
  Adaptive Behavior. 2015.

• Bryan Wilder and Kenneth O. Stanley.
  Altruists Proliferate Even When at a Selective Disadvantage Within their Own Niche. [Full text]
  PLOS One. 2015.