I am a second year PhD student in the Department of Computer Science at University of Southern California, advised by Professor Milind Tambe.
My research uses artificial intelligence to improve decision making in domains which present large scale societal challenges, such as healthcare and security.
On a technical level, my work draws on game theory, social network analysis, machine learning, and optimization.
(α-β) Shaddin Dughmi and Bryan Wilder. Combinatorial Auctions with Online XOS Bidders. [arXiv]
Anne Kandler, Bryan Wilder, Laura Fortunato. Inferring individual-level processes from population-level patterns in cultural evolution. [bioRxiv]
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2017. [PDF][Supplement]
Amulya Yadav, Bryan Wilder, Robin Petering, Eric Rice and Milind Tambe. Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2017. [PDF]
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe, "Divide to Defend: Collusive Security Games," In Proc. of the Conference on Decision and Game Theory for Security (GameSec). 2016.
Bryan Wilder and Gita Sukthankar. Sparsification of Social Networks Using Random Walks. International Conference on Social Computation (SocialCom). 2015. [PDF] [Code]
Bryan Wilder and Anne Kandler. Inference of Cultural Transmission Modes Based on Incomplete Information. Human Biology. 2015. [PDF]
Bryan Wilder and Kenneth O. Stanley. Reconciling Explanations for the Evolution of Evolvability. Adaptive Behavior. 2015. [PDF]
Bryan Wilder and Kenneth O. Stanley. Altruists Proliferate Even When at a Selective Disadvantage Within their Own Niche. PLOS One. 2015. [Full text]
Workshop and Short Papers
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. Robust, dynamic influence maximization. International Workshop on Optimization in Multiagent Systems (OptMAS). 2017. [PDF]
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole Sintov and Milind Tambe. A Game Theoretic Approach on Addressing Cooperation among Human Adversaries. Workshop on Security and Multiagent Systems (SecMAS). 2016. [PDF]
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov and Milind Tambe. Toward Addressing Collusion among Human Adversaries in Security Games(short paper). European Conference on Artificial Intelligence (ECAI). 2016. [PDF]