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Events for September 19, 2017

  • CS Colloquium: Julian McAuley (UCSD) - Structured Output Models of Recommendations, Activities, and Behavior

    Tue, Sep 19, 2017 @ 03:30 PM - 04:50 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Julian McAuley, University of California, San Diego

    Talk Title: Structured Output Models of Recommendations, Activities, and Behavior

    Series: Visa Research Machine Learning Seminar Series hosted by USC Machine Learning Center

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.

    Predictive models of human behavior--and in particular recommender systems--learn patterns from large volumes of historical activity data, in order to make personalized predictions that adapt to the needs, nuances, and preferences of individuals. Models may take incredibly complex data as *input*, ranging from text, images, social networks, or sequence data. However, the *outputs* they are trained to predict--clicks, purchases, transactions, etc.--are typically simple, numerical quantities, in order for the problem to be cast in terms of traditional supervised learning frameworks.

    In this talk, we discuss possible extensions to such personalized, predictive models of human behavior so that they are capable of predicting complex structured *outputs*. For example, rather than training a model to predict what content a user might interact with, we could predict how they would react to unseen content, in the form of text they might write. Or, rather than predicting whether a user would purchase an existing product, we could predict the characteristics or attributes of the types of products that *should* be created.

    Biography: Julian McAuley has been an Assistant Professor in the Computer Science Department at the University of California, San Diego since 2014. Previously he was a postdoctoral scholar at Stanford University after receiving his PhD from the Australian National University in 2011. His research is concerned with developing predictive models of human behavior using large volumes of online activity data.

    Host: Yan Liu

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

  • Epstein Institute Seminar, ISE 651

    Tue, Sep 19, 2017 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Tuo Zhao, Assistant Professor, Georgia Institute of Technology

    Talk Title: Compute Faster and Learn Better: Machine Learning via Nonconvex Model-based Optimization

    Host: Prof. Meisam Razaviyayn

    More Information: September 19, 2017.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

  • Honeywell Aerospace Info Session

    Tue, Sep 19, 2017 @ 06:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Honeywell Information Session

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

  • Deloitte Cyber Tech Talk presented by USC CybOrg

    Tue, Sep 19, 2017 @ 06:30 PM - 08:00 PM

    Viterbi School of Engineering Student Organizations

    Workshops & Infosessions

    Come network with professionals from Deloitte's Cyber and Forensics practices. Networking to follow after the presentation. Deloitte is recruiting both for full-time and internship positions.

    This event is open to members who have PAID THEIR DUES. Dues can be paid while you sign in for each respective event.

    Venmo Handle: @USC-Cyborg
    $15/semester or $25/year

    STEPS to Register:

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    More Information: CybOrg Event Flyer.jpg

    Location: John Stauffer Science Lecture Hall (SLH) - 102

    Audiences: Members have first priority, but anyone can RSVP

    Contact: USC CybOrg