addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgooglegroupsimageimagesinstagramlinklocation-pinm-swarmSearchmailmessagesminusmoremuplabelShape 3 + Rectangle 1outlookpersonJoin Group on CardStartprice-ribbonImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruseryahoo

Yan Liu @ eHarmony

12:00 arrival and lunch served
12:30 Yan's talk
13:30 Discussion

Title: When Big Meets Complex: Sparse Temporal Causal Models for Learning in High-dimensional Time-Series Data

Abstract: Many emerging applications of machine learning, such as social media analysis, climate modeling, and computational biology, involve time series data with inherent structures. In this talk, I will discuss how to develop effective machine learning algorithms to uncover the complex temporal dependencies from high-dimensional time-series data. Specifically, Granger graphical models will be introduced which allows us to model sparse temporal networks from time series data by appealing Granger causality and sparse learning. I will discuss the practical challenges in analyzing time series data in computational biology, climate science, social media analysis applications and our solutions via Granger graphical models.

Bio: Yan Liu is an assistant professor in Computer ScienceDepartment at University of Southern California from 2010. Beforethat, she was a Research Staff Member at IBM Research from 2006. Shereceived her M.Sc and Ph.D. degree from Carnegie Mellon University in2004 and 2006. Her research interest includes developing scalablemachine learning and data mining algorithms with applications tosocial media analysis, computational biology, climate modeling andbusiness analytics. She has received several awards, including 2007ACM Dissertation Award Honorable Mention, best application paper awardin SDM 2007, and winner of several data mining competitions, includingKDD Cup 2007, 2008, 2009 and INFORMS data mining competition 2008. Shehas published over 50 referred articles and served as a programcommittee of SIGKDD, ICML, NIPS, CIKM, SIGIR, ICDM, AAAI, COLING,EMNLP and co-chair of workshops in KDD and ICDM.

Bring your parking tickets for validation.

Join or login to comment.

  • Ian

    Kudos to the cameraman who decided that it was more important to see the backs of so many heads instead of being able to read the slides.

    March 9, 2013

  • Vaclav P.

    Video of the talk is now up:

    2 · March 8, 2013

  • Scott P.

    Very useful talk with some clear examples.

    March 1, 2013

  • Linda M.

    Excellent presentation.

    February 28, 2013

  • Daniel G.

    Dr. Liu was a fantastic speaker for this group. I hope she will consider future meetups.

    February 28, 2013

  • Andrew P.

    Just got the confirmation this morning. Sorry, can't make it. :(

    February 28, 2013

  • Matti S

    Sounds great! Unfortunately I have a schedule conflict. Catch everyone next time.

    February 27, 2013

  • Dave K.

    Ack, can't actually make it. Sorry, Yan!

    February 27, 2013

  • Jeremy L.

    I'd like to go if space opens up.

    February 22, 2013

  • Kam

    Please make the talk understandable for those with no ML background.

    February 22, 2013

  • Olivia W.

    Will there be another discussion like this? This event is all booked up, and I would be very interested to hear the topic at hand. Will there be a web cast?

    February 8, 2013

    • Rob Z.

      I wouldn't worry too much, a bunch of people cancel at the last minute.

      1 · February 13, 2013

  • Vaclav P.

    @Olivia: We host similar meetups regularly. You can always join the waiting list - someone might change their rsvp. We do record and later publish the talks at

    1 · February 13, 2013

  • Olivia W.

    This topic sounds very interesting and I would love to be there.

    February 8, 2013

  • Tim Triche, J.

    structured sequential models are hard. interested to learn more about them

    January 10, 2013

Our Sponsors

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy