Stats, Optimization, and Machine Learning Seminar - Jed Brown

Jed Brown, Department of Computer Science, University of Colorado Boulder

Fast Algorithms and Community Software for Physical Prediction, Inference, and Design

Physically-based computational models are the foundation of modern science and engineering, providing the only path to reliable prediction and inference in the presence of sparse and indirect observations as well as deeper understanding of interacting physical processes and scales.  This talk presents a holistic approach to advancing capability, robustness, efficiency, and productivity as well as fostering open source software communities.

 

Tuesday, October 2, 2018 at 3:00pm to 4:00pm

Discovery Learning Center, DLC 170
1095 Regent Drive, Boulder, CO 80309

Event Type

Colloquium/Seminar

Interests

Science & Technology, Research & Innovation

Audience

Faculty, Students, Graduate Students, Postdoc

College, School & Unit

Engineering & Applied Science

Tags

statistics, optimization, machine learning

Group
Applied Mathematics
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