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Events for the 3rd week of May
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Virtual First-Year Admission Information SessionTue, May 17, 2022 @ 04:00 PM - 05:00 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.
Register Here!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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DEN@Viterbi - Online Graduate Engineering Virtual Information Session
Tue, May 17, 2022 @ 05:00 PM - 06:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online.
Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details and the benefits of online delivery.
Register Today!WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e3891c37499aece99886df55b9bc8f716
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
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PhD Defense - Rob Brekelmans
Wed, May 18, 2022 @ 03:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Rob Brekelmans
Title: Information Geometry of Annealing Paths for Inference and Estimation
Date: Wednesday, May 18, 2022, 3:00 PM PST
Location: Seeley G Mudd (SGM) Room 226 or https://usc.zoom.us/j/91562244468
Committee: Greg Ver Steeg, Aram Galstyan, Aiichiro Nakano, Assad Oberai
Estimating normalization constants and (log) marginal likelihoods is a fundamental problem in probabilistic machine learning, playing a role in maximum likelihood learning, variational inference, and estimation of information theoretic quantities. Importance sampling, where samples from a tractable proposal distribution are reweighted based on their probability under the target density, is at the heart of many successful solutions including the evidence lower bound (ELBO), importance weighted-autoencoder (IWAE), and annealed importance sampling (AIS).
In this thesis, we provide unifying perspectives on these methods and propose methodological improvements. We propose a general approach for deriving extended state-space importance sampling bounds, leading to novel AIS and energy-based methods which can accurately estimate large values of mutual information. We consider extended state space bounds in the context of variational inference, and finally propose a new one-parameter family of annealing paths which generalize the ubiquitous geometric averaging path and can improve estimation performance on example tasks.
Location: Seeley G. Mudd Building (SGM) - 226
WebCast Link: https://usc.zoom.us/j/91562244468
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Virtual First-Year Admission Information Session
Thu, May 19, 2022 @ 04:00 PM - 05:00 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.
Register Here!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Graduate Engineering & Computer Science Information Session: Berlin, Germany
Thu, May 19, 2022 @ 07:00 PM - 08:30 PM
Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Location:
Hotel am Steinplatz
Steinplatz 4, 10623, Berlin
Time: 7:00 PM - 8:30 PM CEST
Who should attend:
Candidates with a strong academic background and a Bachelor's degree in engineering, computer science, applied mathematics, or physical science (such as physics, biology, or chemistry) are welcome to attend an information session to learn more about applying to graduate engineering programs at the University of Southern California.
Topics covered:
Master's & PhD Programs in Engineering and Computer Science
How to Apply
Scholarships and Funding
Student Life at USC and in Los Angeles
Application Tips
There will also be sufficient time for questions during the information session.
Registration
Audiences: Everyone Is Invited
Contact: William Schwerin
