SCS & ECE Recruiting Seminar: Suriya Gunasekar

Event Details
  • Date/Time:
    • Thursday February 7, 2019 - Friday February 8, 2019
      11:00 am - 11:59 am
  • Location: KACB 1116
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Tess Malone, Communications Officer


Summary Sentence: Rethinking the Role of Optimization in Learning

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  • Suriya Gunasekar Suriya Gunasekar

TITLE: Rethinking the Role of Optimization in Learning


 In this talk, I will overview our recent progress towards understanding how we learn large capacity machine learning models, especially deep neural networks. In the modern practice of deep learning, many successful models have far more trainable parameters compared to the number of training examples. Consequently, the optimization objective for training such models have multiple minimizers that perfectly fit the training data. More problematically, while some of these minimizers generalize well to new examples, most minimizers will simply overfit or memorize the training data and will perform poorly on new examples. In practice though, when such ill-posed objectives are minimized using local search algorithms like (stochastic) gradient descent ((S)GD), the “special” minimizers returned by these algorithms have remarkably good performance on new examples. In this talk, we will explore the role optimization algorithms like (S)GD in learning overparameterized models.



Suriya Gunasekar is a research assistant professor at the Toyota Technological Institute at Chicago. Prior to joining TTIC, she finished her Ph.D. at the University of Texas at Austin advised by Professor Joydeep Ghosh. Her research interests are broadly driven by statistical, algorithmic, and societal aspects of machine learning including topics of optimization, high dimensional learning, and algorithmic fairness.


Additional Information

In Campus Calendar

College of Computing, School of Computer Science

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
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  • Created By: Tess Malone
  • Workflow Status: Published
  • Created On: Feb 1, 2019 - 4:55pm
  • Last Updated: Feb 1, 2019 - 4:56pm