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Events for June 11, 2020

  • USC-IISc Faculty Research Mini Online Symposium on COVID-19

    Thu, Jun 11, 2020 @ 08:00 AM - 10:30 AM

    Viterbi School of Engineering Alumni

    Conferences, Lectures, & Seminars


    Speaker: Dean Yannis Yortsos, Dean Narahari, and several faculty from both campuses, Deans and Faculty from USC Viterbi and Indian Institute of Science

    Talk Title: USC-IISc Faculty Research Mini Online Symposium on COVID-19

    Abstract: Coordinated by Professor Cauligi Raghavendra (USC) and Professor Vijay Kumar (IISc), this online symposium of faculty research showcases recent advances in COVID-19 breakthroughs from both campuses.

    Join us on Thursday, June 11, 2020 8:00 AM PDT/8:30 PM IST as we begin the symposium with Dean Yannis Yortsos and Dean Narahari.

    Host: Viterbi Advancement

    More Info: https://usc.zoom.us/webinar/register/WN_9CC5hZfXQQeKOQpOxhKXtQ

    Audiences: Everyone Is Invited

    Posted By: Kristy Ly

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  • Prospective Students: Chat with a USC Rep

    Thu, Jun 11, 2020 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Interested in Master's or PhD programs in engineering or computer science?

    You are cordially invited to meet representatives from the Viterbi School of Engineering on an online webinar.

    Students who have earned or are in the process of earning a Bachelor's degree in engineering, computer science, mathematics, or a hard science (such as physics, biology, or chemistry) are welcome to attend to learn more about applying to our graduate programs.

    The session will include information on the following topics:

    - Master's & PhD programs in engineering and computer science
    - How to Apply
    - Scholarships and funding
    - Student life at USC and in Los Angeles

    There will also be sufficient time for questions.

    We look forward to seeing you there.
    Event Password: Fighton1

    Location: Webex

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e9e29442916bf6bf967baa2bd97b6c06d

    Audiences: Everyone Is Invited

    Posted By: camila tabar

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  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Jun 11, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Admission

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  • Ph.D. Defense - Michael Tsang 6/11 2:00 pm

    Thu, Jun 11, 2020 @ 02:00 PM - 04:00 PM

    Computer Science

    University Calendar


    Ph.D. Defense - Michael Tsang 6/11 2:00 pm "Interpretable Machine Learning Models via Feature Interaction Discovery"

    Ph.D. Candidate: Michael Tsang
    Date: Thursday, June 11, 2020
    Time: 2:00 PM - 4:00 PM
    Committee: Yan Liu (Chair), Emily Putnam-Hornstein, Xiang Ren
    Title: Interpretable Machine Learning Models via Feature Interaction Discovery

    Abstract:
    The impact of machine learning prediction models has created a growing need for us to understand why they make their predictions. The interpretation of these models is important to reveal their fundamental behavior, to obtain scientific insights into data, and to help us trust automatic predictions. In this dissertation, we examine how to explain black-box prediction models via feature interaction detection and attribution, i.e. if features influence each other and how these interactions contribute to predictions, respectively.
    We first discuss how feature interaction detection leads to model interpretations of diverse domains such as image/text classification and automatic recommendation. Here, we focus on the special case of recommendation where interaction detection improves not only model interpretability but also prediction performance. We then discuss how to attribute predictions to feature interactions in a way that is simultaneously interpretable, model-agnostic, principled, and scalable. Our discussion culminates in the unification of interaction detection and attribution to yield general prediction visualizations that are both intuitive and insightful.


    Meeting Links:
    Zoom Meeting:
    https://usc.zoom.us/j/5669704161
    Meeting ID: 566 970 4161


    Google Meet (ONLY A BACKUP - IF WE EXPERIENCE PROBLEMS WITH ZOOM):
    https://meet.google.com/brt-fjya-ykd
    Phone Number:
    (US) +1 720-439-6997
    PIN:455 863 061

    WebCast Link: https://usc.zoom.us/j/5669704161

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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