University of Southern California
Research Group
Bryan Wilder


Bryan Wilder About Me

I am a fourth year PhD student in the Department of Computer Science at University of Southern California, advised by Professor Milind Tambe. My research focuses on optimization and machine learning, and how such techniques can be used for social impact. One example application is preventing HIV spread among homeless youth, where the algorithms that I developed are being piloted by LA-area homeless shelters. On a technical level, my work focuses on combinatorial optimization under uncertainty: how do we make good decisions when the true objective function is unknown? To answer this question, I explore topics such as robust optimization, information gathering, and learning combinatorial functions from data.

Previously, I received a B.S. in Computer Science from the University of Central Florida, where I worked primarily with Gita Sukthankar and Ken Stanley. I also spent three summers at the Santa Fe Institute, working with Anne Kandler and Laura Fortunato.

I am supported by a National Science Foundation Graduate Research Fellowship, and by a USC Annenberg Fellowship.



CV [pdf]
bwilder@usc.edu


News
Preprints
  • Matthew Staib* Bryan Wilder*, Stefanie Jegelka.
    Distributionally Robust Submodular Maximization. [arXiv].
    *Equal contribution.
Conference Publications
  • Bryan Wilder, Bistra Dilkina, Milind Tambe.
    Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. [arXiv][datasets].
    AAAI-19. To appear: AAAI Conference on Artificial Intelligence. 2019.

  • Bryan Wilder, Yevgeniy Vorobeychik.
    Defending Elections Against Malicious Spread of Misinformation. [arXiv].
    AAAI-19. To appear: 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

  • 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]
    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.

  • 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.
Journal Publications
  • 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.

  • 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.