Seminars

ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Title: “Sum-Product Networks: The Next Generation of Deep Models” Speaker: Pedro Domingo (University of Washington) Date/Time: April 19, 2017, @ 12n (lunch served at 11:30am) Location: Engineered Biosystems Building (EBB), CHOA Room Abstract: The two main types of deep learning are function approximation and probability estimation. Function approximators like convolutional neural networks are robust and allow for real-time inference,… Continue reading ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Faculty · Seminars

ML@GT Seminar by Le Song (CSE) on “Embedding as a Tool for Algorithm Design” on April 5, 2017, 12:00n in EBB CHOA Room

Speaker: Le Song,  Computational Science and Engineering (CSE), GA Tech Location: Engineered Biosystems Building, CHOA Room (Map) Date/Time: April 5, 2017, 12:00n – 1:00pm (Lunch at 11:30am) Title: Embedding as a Tool for Algorithm Design Abstract: Many big data analytics problems are intrinsically complex and hard, making the design of effective and scalable algorithms very challenging.… Continue reading ML@GT Seminar by Le Song (CSE) on “Embedding as a Tool for Algorithm Design” on April 5, 2017, 12:00n in EBB CHOA Room

Seminars

ML@GT Seminar by Justin Romberg on “Phase Retrieval meets Statistical Learning Theory”

Title: Phase Retrieval meets Statistical Learning Theory Speaker: Justin K. Romberg (School of Electrical and Computer Engineering, GA Tech) Date/Time: Wednesday 2/15/2017, 12n – 1pm, (Lunch at 11:30am) Location: TSRB Banquet Hall (85 5th Street NE, Atlanta, GA 30309) Abstract: We will present a new convex relaxation for the classic problem of phase retrieval, where we… Continue reading ML@GT Seminar by Justin Romberg on “Phase Retrieval meets Statistical Learning Theory”