Ethics Highlight ‘Day of Machine Learning Discussion’ | College of Computing

Machine learning at Georgia Tech was in the spotlight recently as The Center for Machine Learning at Georgia Tech (ML@GT) hosted its spring seminar on Feb. 22 in the Klaus Advanced Computing Building.Billed as a “day of discussions around machine learning,” more than 200 students and faculty from across campus registered for the daylong event.“AI is […]

Read More Ethics Highlight ‘Day of Machine Learning Discussion’ | College of Computing

ML@GT Spring Event – 2/22

Please join us on Thursday 2/22/2018 for the ML@GT Center Spring Event featuring talks from internal faculty and invited speakers.  Event runs from 10AM to 5PM in the Klaus Atrium. Invited Speakers Sanjeev Arora     –     Princeton University Sanjeev Arora is Charles C. Fitzmorris Professor of Computer Science at Princeton University. He is interested in […]

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ML/Statistics Seminar by Shama Kakade on “Faster least squares and faster eigenvector computation: Improved algorithms for both optimization and statistics in the big data regime”

ML/Statistics Seminar Series Date/Time: Thursday Sep 28 2017, 11:00 am – 12:00 pmLocation: Advisory Boardroom, #402 Groseclose Speaker: Sham Kakade; Department of Statistics and Computer Science, University of Washington Title: Faster least squares and faster eigenvector computation: Improved algorithms for both optimization and statistics in the big data regime Abstract: Least squares and eigenvector computations […]

Read More ML/Statistics Seminar by Shama Kakade on “Faster least squares and faster eigenvector computation: Improved algorithms for both optimization and statistics in the big data regime”

Seminar by Nathan Silberman on “TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow” Thursday Sep 7 2017, 4:30 pm – 5:45 pm in Clough 144

ML@GT Seminar and Guest Speaker for CS 7643 Deep Learning Title: TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow Speaker: Nathan Silberman Date/Time: Thursday Sep 7 2017, 4:30 pm – 5:45 pm Location: Clough 144 Abstract: TF-Slim is a TensorFlow-based library with various components. These include modules for easily defining neural network models […]

Read More Seminar by Nathan Silberman on “TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow” Thursday Sep 7 2017, 4:30 pm – 5:45 pm in Clough 144

ML/Statistics Seminar by Xiaodong Li on “Convex Relaxation for Community Detection”

Machine Learning/Statistics Seminar Series Date/Time: Thursday Sep 7 2017, 11:00 pm – 12:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Xiaodong Li Title: Convex Relaxation for Community Detection Abstract: Cluster structures are ubiquitous for large data, and community detection has recently attracted much research attention in applied physics, sociology, computer science and statistics due to […]

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ML/Statistics Seminar by Jason Lee on “Matrix Completion, Saddlepoints, and Gradient Descent”

ML/Statistics Seminar Series Date/Time: Wed. Sep 6 2017, 3:00 pm – 4:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Jason Lee Title: Matrix Completion, Saddlepoints, and Gradient Descent Abstract: Matrix completion is a fundamental machine learning problem with wide applications in collaborative filtering and recommender systems. Typically, matrix completion are solved by non-convex optimization procedures, […]

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Seminar by Soumith Chintala on “An Overview of Deep Learning Frameworks and an Introduction to PyTorch” 9/6/17, 12:30, Nano 1118

ML@GT Seminar Series Title: An Overview of Deep Learning Frameworks and an Introduction to PyTorch Speaker: Soumith Chintala, Facebook Date/Time: Wednesday Sep 6 2017, 12:30 pm – 1:30 pm Location: Marcus Nanotechnology Building, Room 1118 Abstract: In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such […]

Read More Seminar by Soumith Chintala on “An Overview of Deep Learning Frameworks and an Introduction to PyTorch” 9/6/17, 12:30, Nano 1118