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Events for November 03, 2020

  • Professional Enhancement Seminar

    Tue, Nov 03, 2020 @ 04:00 AM - 05:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: TBD, TBD

    Talk Title: TBD

    Abstract: This bi-monthly seminar brings industry professionals from fields within electrical and computer engineering to share advice and answer questions about what students can do to improve their professional experience.

    Meeting ID: 974 2555 7004
    Passcode: 494632

    Host: Mihailo Jovanovic

    Webcast: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09

    WebCast Link: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09

    Audiences: Everyone Is Invited

    Contact: Benjamin Paul

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  • Miracles of Semiconductor Fabrication with Lam Research Corporation

    Tue, Nov 03, 2020 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Lam Research is a trusted, collaborative partner to the world's leading semiconductor companies. Lam Research is a fundamental enabler of the silicon roadmap. In fact, today, nearly every advanced chip is built with Lam technology. Our innovative wafer fabrication equipment and services allow chipmakers to build smaller, faster, and better performing electronic devices.

    REGISTER using the QR code in the attached flyer, or go to: https://app.joinhandshake.com/login

    Aaron Fellis, USC Alum, and currently the VP and GM of the Dielectric Atomic Layer Deposition Group at Lam. Aaron will be hosting a virtual Tech Talk to discuss the Miracles of Semiconductor Fabrication.

    This is a great opportunity for students interested in learning more about what Lam Research does. Each year Lam hires 100+ New College Grads and has 100+ internship opportunities at the Bachelor's, Master's and PhD levels.

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

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  • ISE 651 - Epstein Seminar

    ISE 651 - Epstein Seminar

    Tue, Nov 03, 2020 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Pitu Mirchandani, Professor, Department of Computing, Informatics, and Decision Systems Engr, ASU

    Talk Title: Managing Hurricane Evacuation with Stochastic Dynamic Networks

    Host: Prof. Suvrajeet Sen

    More Information: November 3, 2020.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • CS Colloquium: Yuanzhi Li (CMU) - Multi-player Multi-armed Bandit: Can We Collaborate Without "Zoom"?

    Tue, Nov 03, 2020 @ 03:30 PM - 04:30 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Yuanzhi Li, Carnegie Mellon University

    Talk Title: Multi-player Multi-armed Bandit: Can We Collaborate Without "Zoom"?

    Series: Computer Science Colloquium

    Abstract: Multi-armed bandit is a well-established area in online decision making, where one player makes sequential decisions in a non-stationary environment to maximize his/her accumulative rewards. The traditional multi-armed bandit problem becomes significantly more challenging when there are multiple players in the same environment, while only one piece of reward is presented at a time for each arm. In this setting, if two players pick the same arm at the same round, they are only able to get one piece of reward instead of two. When the rewards are non-negative, to maximize the total accumulative rewards by all players, they need to collaborate to avoid "collision" -- i.e. the players need to make sure that they do not all rush to the same arm (even if it has the highest reward) at the same round. We focus on the setting where communications between players are completely disabled: e.g. they are separated in different places of the world without any "Zoom". We show that low-regret can still be obtained in this setting: Players can actually collaborate to maximize total rewards by avoiding collision in a non-stationary environment, even when they do not communicate at all during the entire sequence of decisions.

    Register in advance for this webinar at:


    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Yuanzhi Li is an assistant professor at CMU, Machine Learning Department. He did his Ph.D. at Princeton, under the advice of Sanjeev Arora (2014-2018) as well as a one-year postdoc at Stanford. His wife is Yandi Jin.

    Host: Haipeng Luo

    More Info: https://usc.zoom.us/webinar/register/WN_kVp5jz5qSIKAZIphNGWaWw

    Location: Online Zoom Webinar

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

    Event Link: https://usc.zoom.us/webinar/register/WN_kVp5jz5qSIKAZIphNGWaWw

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