REGISTRATION IS CLOSED!
Limited on-site registration will be available
On-site registration for Rice faculty, students and staff: $25.00
On-site registration for all Non-Rice: $100.00
Machine Learning Workshop
January 24, 2017
7:30 a.m. -6:00 p.m.
BioScience Research Collaborative (BRC)
Keynote talk by Alfred Spector, Two Sigma
Join us at the Machine Learning Workshop at Rice University on January 24, 2017.
Presentations will range from Rice machine learning researchers speaking about the latest theory and algorithms to industrial leaders speaking about applications in the energy, medical, financial, and legal industries.
After the keynote by Dr. Alfred Spector of Two Sigma (formerly VP for Research at Google) there will be plenty of time for networking at the Poster Session and Reception.
ML@RICE 2017 is sponsored by the Rice University’s Ken Kennedy Institute and the Departments of Electrical & Computer Engineering, Computer Science and Computational & Applied Mathematics.
Talks on theory and algorithms for Machine Learning (ML) from Rice faculty:
Genevera Allen on sparse learning
Richard Baraniuk on advanced data analytics
Paul Hand on machine vision
Ankit Patel on deep learning
Anshumali Shrivastava on large-scale learning
Talks on Machine Learning (ML) from industry:
Dr. Thomas Halsey on machine learning in the energy industry
Dr. Satyam Priyadarshy on machine learning in the upstream oil and gas industry
Dr. Craig Rusin, Medical Informatics Corp., on patient informatics
Dr. Hardeep Singh on reducing medical misdiagnosis through machine learning
Dr. Alan J. Lockett, CS Disco, on machine learning in the legal domain