Machine Learning Virtual Seminar: Structured Prediction - Beyond Support Vector Machine and Cross Entropy

Event Details
  • Date/Time:
    • Wednesday September 29, 2021
      12:15 pm - 1:15 pm
  • Location: BlueJeans
  • Phone:
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  • Email:
  • Fee(s):
    N/A
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Contact

Kyla Hanson

khanson@cc.gatech.edu

Summaries

Summary Sentence: Francis Bach provides the Sept. 29 virtual machine learning seminar.

Full Summary: No summary paragraph submitted.

Abstract: Many classification tasks in machine learning lie beyond the classical binary and multi-class classification settings. In those tasks, the output elements are structured objects made of interdependent parts, such as sequences in natural language processing, images in computer vision, permutations in ranking or matching problems, etc. The structured prediction setting has two key properties that makes it radically different from multi-class classification, namely, the exponential growth of the size of the output space with the number of its parts, and the cost-sensitive nature of the learning task, as prediction mistakes are not equally costly. In this talk, I will present recent work on the design on loss functions that combine numerical efficiency and statistical consistency (joint work with Alessandro Rudi, Alex Nowak-Vila, Vivien Cabannes).

Bio: Francis Bach is a researcher at INRIA in the Computer Science department of Ecole Normale Supérieure, in Paris, France. He has been working on machine learning since 2000, with a focus on algorithmic and theoretical contributions, in particular in optimization. Past papers can be downloaded from his web page or Google Scholar page.

Register and Attend: https://primetime.bluejeans.com/a2m/register/eqttretz

Additional Information

In Campus Calendar
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Groups

College of Computing, GVU Center, ML@GT, OMS, School of Computational Science and Engineering, School of Computer Science, School of Interactive Computing

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
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Status
  • Created By: David Mitchell
  • Workflow Status: Published
  • Created On: Sep 9, 2021 - 4:08pm
  • Last Updated: Sep 9, 2021 - 4:08pm