vade shah

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I’m a PhD student studying game theory and optimization at UC Santa Barbara, where I am advised by Jason Marden with the support of the NSF GRFP. Previously, I completed my BS in EECS at UC Berkeley. Recently, I’ve been interested in problems related to matching markets.

Send me an email if you’d like to get in touch!

news

July 2024 Our paper titled “Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences” was accepted to IEEE CDC 2024. See you in Milan!
July 2024 Our paper titled “Combinatorial optimization methods for damage mitigation on National Ignition Facility final optics” was accepted to SPIE Laser Damage 2024. See you in San Ramon!
April 2024 I was selected as a recipient of the NSF GRFP!
March 2024 I was named a Rising Star in the Stanford MS&E Rising Stars Workshop!
December 2023 Our paper titled “Battlefield transfers in coalitional Blotto games” was accepted to AAMAS 2024. See you in Auckland!

selected publications

  1. coalition_basic_2.pdf
    Battlefield Transfers in Coalitional Blotto Games
    Vade Shah, and Jason R Marden
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
  2. market_comparison.pdf
    Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
    Vade Shah, Bryce L. Ferguson, and Jason R. Marden
    2024