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SUNMONTUEWEDTHUFRISAT
Events for March 20, 2015
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Meet USC: Admission Presentation, Campus Tour, & Engineering TalkFri, Mar 20, 2015
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m. Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!Location: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Prospective Undergrads and Families
Contact: Viterbi Admission
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Creating Love through Science
Fri, Mar 20, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jon Morra, Ph.D., Principal Machine Learning Engineer at eHarmony
Talk Title: Creating Love through Science
Series: AISeminar
Abstract: eHarmony has been creating successful matches for over 15 years. Over that time, our processes have grown in complexity from handmade linear functions to very complex multi-stage pipelines involving some of the latest techniques in data processing, data mining, and machine learning. In this talk I will go over our current data pipeline and highlight recent changes, including the addition of image processing and contextual bandit learning to help improve users' experience on our site. I will also touch upon the future of both our machine learning pipeline and algorithm selection at eHarmony.
Biography: Jon Morra, Ph.D., is a Principal Machine Learning Engineer at eHarmony. His work focuses on eHarmony's machine learning pipeline, including feature extraction, model creation, and data analysis in addition to contributing to the eHarmony engineering infrastructure. Before eHarmony, he co-founded a medical imaging company focused on image segmentation for therapy planning in radiation oncology and developed a novel image segmentation algorithm that was able to find various regions of interest in multi modality imaging environments. Jon has also spent time writing PACS software and developing Ruby on Rails techniques for radiation safety. He received his B.S. in Biomedical Engineering from Johns Hopkins University and his M.S. and Ph.D. in Biomedical Engineering from UCLA.
Host: Ashish Vaswani
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=89ba5d5ed8c640d4aff1b850b308173c1dLocation: Information Science Institute (ISI) - 1135
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=89ba5d5ed8c640d4aff1b850b308173c1d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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NL Seminar-Multitask Word Alignment with Random-Walk Regularizers
Fri, Mar 20, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Tomer Levinboim, Notre Dame University
Talk Title: Multitask Word Alignment with Random-Walk Regularizers
Series: Natural Language Seminar
Abstract: Suppose we translate a word from English to French and back. Should we get the original English word? That is, is translation invertible? Alternatively, suppose we translate an English word e to Spanish and then from Spanish to French, obtaining a word f. Should e-f be a valid entry in an English-French dictionary? That is, is translation transitive? Intuitively, if translation is done carefully, we expect to answer both these questions with "Yes, with high probability". In this talk, I will discuss how to formulate our intuition about invertibility/transitivity with random-walks, using translation probability distributions. I will then present two random-walk based regularization techniques that we recently used in a multitask word alignment setting: (1) Model Invertibility Regularization (MIR) - a concave regularizer for bi-directional models which can be applied even without parallel data. (2) Triangulation based Dirichlet prior - a method that capitalizes on parallel data with a pivot language, to construct and learn better translation priors. This talk is based on joint work with Prof. David Chiang (ND) and Dr. Ashish Vaswani (ISI).
Biography: Tomer Levinboim is a PhD student at the University of Notre Dame, working with Prof. David Chiang on developing machine learning techniques for improving machine translation and NLP of low resource languages. He is generously hosted by Kevin Knight at USC/ISI.
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
