Students

Undergraduates Impact Campus with Deep Learning Talks and Competitions

This past week, The Agency (the undergraduate ML club) was busy throwing a number of events to promote knowledge of Machine Learning and Deep Learning at Georgia Tech. On Thursday Nov 2, Raphael Gontijo Lopes, the president of the club, presented the first talk in a series entitled “A Deeper Dive into Deep Learning”. In… Continue reading Undergraduates Impact Campus with Deep Learning Talks and Competitions

Faculty

Welcome to all the new Machine Learning Faculty to Georgia Tech

We are pleased to have these new faculty join us starting this year. Siva Maguluri CoE / ISyE Devi Parikh CoC / IC Jacob Abernathy CoC / SCS Dhruv Batra CoC / IC Rachel Cummings CoE / ISyE Eva Dyer CoE / BME Wenjing Liao CoS / Math Thomas Ploetz CoC / IC Tuo Zhao… Continue reading Welcome to all the new Machine Learning Faculty to Georgia Tech

Seminars

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… Continue reading 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”

Seminars

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… Continue reading 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

Seminars

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

Seminars

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

Seminars

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