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Events for February 21, 2017
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USC Stem Cell Seminar: David Scadden, Harvard University
Tue, Feb 21, 2017 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: David Scadden, Harvard University
Talk Title: TBD
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Host: USC Stem Cell
More Info: http://stemcell.usc.edu/events
Webcast: http://keckmedia.usc.edu/stem-cell-seminarWebCast Link: http://keckmedia.usc.edu/stem-cell-seminar
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
Event Link: http://stemcell.usc.edu/events
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CS Colloquium: Shivaram Venkataraman (UC Berkeley) - Scalable Systems for Fast and Easy Machine Learning
Tue, Feb 21, 2017 @ 11:00 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Shivaram Venkataraman, UC Berkeley
Talk Title: Scalable Systems for Fast and Easy Machine Learning
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics. However the end of Moore's law and the shift towards distributed computing architectures presents many new challenges for building and executing such applications in a scalable fashion.
In this talk I will present my research on systems that make it easier to develop new machine learning applications and scale them while achieving high performance. I will first present programming models that let users easily build distributed machine learning applications. Next, I will show how we can exploit the structure of machine learning workloads to build low-overhead performance models that can help users understand scalability and simplify large scale deployments. Finally, I will describe scheduling techniques that can improve scalability and achieve high performance when using distributed data processing frameworks.
Biography: Shivaram Venkataraman is a PhD Candidate at the University of California, Berkeley and is advised by Mike Franklin and Ion Stoica. His research interests are in designing systems and algorithms for large scale data processing and machine-learning. He is a recipient of the Siebel Scholarship and best-of-conference citations at VLDB and KDD. Before coming to Berkeley, he completed his M.S at the University of Illinois, Urbana-Champaign.
Host: CS Department
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Epstein Institute Seminar, ISE 651
Tue, Feb 21, 2017 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Benjamin Recht , Associate Professor, UC Berkeley
Talk Title: Optimization Challenges in Deep Learning
Host: Dr. Suvrajeet Sen
More Information: February 21, 2017_Recht.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Grace Owh
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Seminars in Biomedical Engineering
Tue, Feb 21, 2017 @ 04:00 PM - 05:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Bruno Olshausen, Ph.D, Professor, Helen Wills Neuroscience Institute and School of Optometry Director, Redwood Center for Theoretical Neuroscience University of California, Berkeley
Talk Title: Neural Computations for Active Perception
Biography: http://redwood.berkeley.edu/bruno/
Host: Bartlett Mel, PhD
More Information: Bruno Olshausen flyer 2.pdf
Location: Hedco Neurosciences Building (HNB) - 100
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
