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  • Oct
    1

    Pure Nash Equilibria in Structured Congestion Games

    Department of Industrial Engineering and Management Sciences (IEMS)

    11:00 AM Ford Motor Company Engineering Design Center

    EVENT DETAILS

    Abstract: Congestion games are a class of non-cooperative games that can be used to model resource sharing among selfish players. A prominent solution concept for these games is that of pure Nash equilibrium (PNE), a strategy profile where no player has incentive to unilaterally deviate. In this talk I will address two central questions. The first question is: which structures allow us to design a polynomial-time algorithm for the computation of a PNE? The second question is: which structures can limit the inefficiency of pure Nash equilibria? To answer the first question, I will present a polyhedral approach that can be leveraged to design a strongly polynomial-time algorithm to compute a PNE in symmetric totally unimodular (TU) congestion games, where the players’ strategies are binary vectors inside polyhedra defined by TU constraint matrices. In relation to the second question, I will consider different measures of social cost and quantify equilibria inefficiency through the notion of pure Price of Anarchy (PoA). I will present bounds on the PoA for two main structured congestion games: congestion games defined over series-parallel networks and congestion games defined over paving matroids. This is a joint work with Bainian Hao.

    BIO: Carla Michini is an assistant professor in the Industrial and Systems Engineering Department at UW-Madison since Fall 2018. Prior to that, she held postdoctoral positions at UW-Madison and ETH Zürich and she was a visiting researcher at CMU. She obtained her PhD in Operations Research at Sapienza University of Rome. Carla's research is motivated by the practical relevance of combinatorial optimization and integer programming in real-world problems. The core of her research approach consists in identifying and exploiting the polyhedral structure of various combinatorial problems to design efficient algorithms for their solution. Currently, her main goal is to leverage this approach beyond optimization, particularly in game theory and machine learning.

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    TIME Tuesday, October 1, 2024 at 11:00 AM - 12:15 PM

    LOCATION Ford Motor Company Engineering Design Center    map it

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    CONTACT Nathan Keiller    nathan.keiller@northwestern.edu EMAIL

    CALENDAR Department of Industrial Engineering and Management Sciences (IEMS)

  • Nov
    14

    MLDS Fall Seminar 2025: Obstacles to Operationalizing Machine Learning & Strategies to Overcome Them

    Master of Science in Machine Learning and Data Science (MLDS)

    1:00 PM Master of Science in Machine Learning and Data Science, North Campus Parking Garage/Academic Building

    EVENT DETAILS

    TIME Friday, November 14, 2025 at 1:00 PM - 2:00 PM

    LOCATION Master of Science in Machine Learning and Data Science, North Campus Parking Garage/Academic Building    map it

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    CONTACT Master of Science in Machine Learning and Data Science Program    mlds@northwestern.edu EMAIL

    CALENDAR Master of Science in Machine Learning and Data Science (MLDS)

  • Nov
    14

    MLDS AI Hackathon 2025: Kickoff

    Master of Science in Machine Learning and Data Science (MLDS)

    6:00 PM TCHM345, Technological Institute

    EVENT DETAILS

    TIME Friday, November 14, 2025 at 6:00 PM - 8:00 PM

    LOCATION TCHM345, Technological Institute    map it

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    CONTACT Daeun Ji    daeunji2025@u.northwestern.edu EMAIL

    CALENDAR Master of Science in Machine Learning and Data Science (MLDS)

  • Nov
    17

    MLDS AI Hackathon 2025: Final Presentation

    Master of Science in Machine Learning and Data Science (MLDS)

    6:00 PM FSK217, Fisk Hall

    EVENT DETAILS

    TIME Monday, November 17, 2025 at 6:00 PM - 8:00 PM

    LOCATION FSK217, Fisk Hall    map it

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    CONTACT Daeun Ji    daeunji2025@u.northwestern.edu EMAIL

    CALENDAR Master of Science in Machine Learning and Data Science (MLDS)

  • Nov
    20

    MLDS Online Information Session

    Master of Science in Machine Learning and Data Science (MLDS)

    10:00 AM

    EVENT DETAILSmore info

    TIME Thursday, November 20, 2025 at 10:00 AM - 11:00 AM

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    CONTACT Master of Science in Machine Learning and Data Science Program    mlds@northwestern.edu EMAIL

    CALENDAR Master of Science in Machine Learning and Data Science (MLDS)

  • Dec
    13

    Northwestern Engineering PhD Hooding and Master's Recognition Ceremony

    McCormick School of Engineering and Applied Science

    4:00 PM Pick-Staiger Concert Hall

    EVENT DETAILS

    TIME Saturday, December 13, 2025 at 4:00 PM - 6:00 PM

    LOCATION Pick-Staiger Concert Hall    map it

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    CONTACT Andi Joppie    andi.joppie@northwestern.edu EMAIL

    CALENDAR McCormick School of Engineering and Applied Science