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.
Rice University
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

Poster and networking session- click here to register your poster



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