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Events for April 18, 2023

  • ECE-S Seminar - Dr Paria Rashidinejad

    Tue, Apr 18, 2023 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr Paria Rashidinejad, Postdoctoral Scholar | University of California, Berkeley

    Talk Title: Reliable Data-Driven Decision-Making Systems

    Abstract: Despite impressive success in domains such as vision and language, machine learning is still far from reliable integration into many challenging real-world scenarios, such as healthcare, where the coverage of existing data and the ability to collect new, diverse data are limited. This talk focuses on mathematically formulating and addressing some of the challenges in data-driven decision-making systems, studied in the reinforcement learning (RL) framework. I will discuss decision-making based on two sources of data: historical (offline) data and actively-collected data. In learning from offline data, I first mathematically formulate the challenge of partial data coverage. I show that this formulation combined with pessimistic offline RL unifies the major offline learning paradigms: imitation learning and conventional offline RL. I then present statistically-optimal and practical offline RL algorithms that simultaneously exploit expressive models, such as deep neural networks, and historical datasets with any coverage, to learn good decision-making policies. In learning from interactive data, I present general formulations and theoretically-guaranteed algorithms that exploit problem structure and expressive models to collect data for learning good policies, with efficacy demonstrated in a variety of navigation and locomotion tasks.

    Biography: Paria Rashidinejad is a Postdoctoral Scholar at Berkeley AI Research Lab and Center for Human-Compatible AI. She received her Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley in May 2022, under the supervision of Stuart Russell and Jiantao Jiao. Her research focuses on the mathematical foundations of machine learning and AI and designing capable and general-purpose AI and ML systems for reliable integration into the real world. She also works on machine learning applications in areas such as healthcare, robotics, and systems.

    Host: Dr Somil Bansal, somilban@usc.edu | Dr Urbashi Mitra, ubli@usc.edu

    Webcast: https://usc.zoom.us/j/95534730279?pwd=SWtyVk0zcWtkWUQ5WVltRlNMalpNZz09

    More Information: ECE Seminar Announcement 04.18.2023 - Paria Rashidinejad.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    WebCast Link: https://usc.zoom.us/j/95534730279?pwd=SWtyVk0zcWtkWUQ5WVltRlNMalpNZz09

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

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  • Epstein Institute - ISE 651 Seminar

    Tue, Apr 18, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Randy Hall, Dean\'s Professor, Daniel J. Epstein Dept. of ISE, USC

    Talk Title: Data Informed Mitigation to Reduce the Health Consequences of Pandemics

    Host: Prof. Maged Dessouky

    More Information: April 18, 2023.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • KPMG x CybOrg x WIE – Women in Cyber Celebration

    Tue, Apr 18, 2023 @ 06:00 PM - 08:00 PM

    USC Viterbi School of Engineering

    Student Activity


    KPMG’s Women in Cyber organization is excited to partner with CybOrg and WIE for an in-depth discussion centered around exploring careers in cybersecurity and finding purpose in your career post-grad, developing relationships and learning to thrive in a hybrid/work-from-home environment, and how to develop and bring your authentic self to work as a womxn in the security space. The panel will be followed by Q&A session where KPMG professionals will provide guidance on how to make your application and interview process stand out. Dinner will be provided! \"

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Maia Calderon-Ramos

    Event Link: https://engage.usc.edu/WIE/rsvp?id=389222

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