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SUNMONTUEWEDTHUFRISAT
Events for April 22, 2019
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New Delhi, India - Admitted Student Reception
Mon, Apr 22, 2019
Viterbi School of Engineering Undergraduate Admission
University Calendar
These Admitted Student Programs, hosted by the Undergraduate Admission Office, provide admitted students and their families an opportunity to meet admission counselors, representatives from academic departments, alumni, and you will have the opportunity to meet other admitted students from your local area. Viterbi and University Admission counselors will be there to answer any questions you might have, tell you more about campus life and your specific academic program, and welcome you to the Trojan Family. The program will last approximately two hours.
We love seeing our newly admitted students in person! if you live in or near a city we will be visiting, we encourage you to join us!
Once admitted, students can find the RSVP link in their USC Applicant Portal.Audiences: Admitted Students & Family Members
Contact: Viterbi Admission
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Spring Explore USCMon, Apr 22, 2019
Viterbi School of Engineering Undergraduate Admission
University Calendar
Spring Explore is a full-day program running from 8:30am-5pm. The day includes a presentation from the Office of Admission, a USC Campus Tour, and visit with us in the Viterbi School of Engineering. During your time with us you will learn what your life will be like as an engineering student at USC, meet some of our current engineering students, see facilities and labs, and get your questions answered about the enrollment process, housing, and your "next steps".
Once admitted, students can find the RSVP link in their USC Applicant Portal.Audiences: Spring Admits & Family Members
Contact: Viterbi Admission
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ECE Seminar: Analyzing Learning Algorithms: Perspectives from Information Theory and Optimal Transport
Mon, Apr 22, 2019 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Varun Jog, Assistant Professor, University of Wisconsin-Madison
Talk Title: Analyzing Learning Algorithms: Perspectives from Information Theory and Optimal Transport
Abstract: In this talk, we will analyze generalization and robustness properties of learning algorithms using tools derived from information theory and optimal transport. In statistical learning theory, generalization error is used to quantify the degree to which a supervised machine learning algorithm may overfit to training data. Leveraging recent work [Xu and Raginsky (2017)], we derive information-theoretic generalization error bounds for a broad class of iterative algorithms that are characterized by bounded, noisy updates with Markovian structure, such as stochastic gradient Langevin dynamics (SGLD). We describe certain shortcomings of these information-theoretic bounds, and propose alternate strategies that rely on optimal transport theory. We show that results from optimal transport are well-suited to analyze not only generalization properties, but also robustness properties of learning algorithms.
Biography: Varun Jog received his B.Tech. degree in Electrical Engineering from IIT Bombay in 2010, and his Ph.D. in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley in 2015. Since 2016, he is an Assistant Professor at the Electrical and Computer Engineering Department and a fellow at the Grainger Institute for Engineering at the University of Wisconsin - Madison. His research interests include information theory, machine learning, and network science. He is a recipient of the Eli Jury award from the EECS Department at UC Berkeley (2015) and the Jack Keil Wolf student paper award at ISIT 2015.
Host: Professor Salman Avestimehr, avestime@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Munushian Keynote Lecture - F. Duncan Haldane - Nobel Laureate, Physics 2016, Princeton University
Mon, Apr 22, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: F. Duncan Haldane, Princeton University
Talk Title: Topological Quantum Matter, Entanglement, and the Second Quantum Revolution
Abstract: While the laws of quantum mechanics have remained unchanged and always validated for the last eighty-five years, new discoveries about the exotic states that they allow, entanglement, and ideas from quantum information theory have greatly changed our perspective, so much so that some talk of a "second quantum revolution" that is currently underway. The discovery of unexpected "topological states of matter", and their possible use for "topologically-protected quantum information processing" is one of the important themes of these developments, and will be reviewed. Some of the early work in the 1980's that began to expose topological quantum matter has already earned Nobel Prizes, including the experimental discoveries of von Klitzing (Integer Quantum Hall Effect, Nobel 1985), and Stormer and Tsui (Fractional Quantum Hall Effect, Nobel 1998), the theoretical discovery of its description by Laughlin (co-laureate, 1998), and the work honored by the recent 2016 prize, which also occured in the 1980's. Given the surprising nature of subsequent recent developments, and the excitement they have generated, it seems likely that more will follow, especially if the current attempts to demonstrate "braiding" become successful. It is no exaggeration to say that, at least in Condensed Matter Physics, the concepts and language used to describe quantum states of matter have dramatically changed since about 1980 as a result of all these developments, in which the quantum property of "entanglement" plays a key role.
Biography: Duncan Haldane, who shared the 2016 Nobel Prize for Physics with David Thouless and Michael Kosterlitz, is the Sherman Fairchild University Professor of Physics at Princeton University, a Fellow of the Royal Society of London, and a Foreign Associate of the U.S. National Academy of Sciences. He is also a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the American Physical Society, and the Institute of Physics (UK).
He was awarded a share of the Nobel Prize for his theoretical work on "topological states of matter", including pioneering
work on unexpected (and initially controversial) "topological quantum states" of one-dimensional systems of magnetic atoms (for which he had previously received the 1993 Oliver Buckley Prize of the American Physical Society), and on the 1988 theoretical prediction of (ferromagnetic) topological insulators exhibiting the "quantum anomalous Hall effect" (finally observed experimentally many years later in 2013) for which he shared the 2012 Dirac medal of the International
Center for Theoretical Physics (Trieste) with Charles Kane and Shou-Cheng Zhang. His work helped to open up new directions and ways of thinking about quantum effects in condensed matter, and in recent years, "topological quantum matter" has grown into a very active experimental field which many believe may provide platforms for "quantum computing". He also initiated the field of "topological photonics". He currently works on "quantum geometry" in the "fractional quantum Hall effect".
Dr. Haldane received his Ph. D. in theoretical condensed matter physics from Cambridge University, under the direction
and mentorship of Philip W. Anderson (Nobel Laureate in Physics 1977), and, before his appointment at Princeton University, worked at the Institut Laue-Langevin (Grenoble, France), the University of Southern California, Bell Laboratories, and the University of California, San Diego. Haldane was born in London in 1951, of mixed Scottish and Slovenian origins. Despite also having three forenames, he is unrelated to the famous biologist J. B. S. Haldane.
Host: ECE-Electrophysics
More Info: https://minghsiehee.usc.edu/about/lectures/munushian/
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://minghsiehee.usc.edu/about/lectures/munushian/
