Probabilistic Programming: Beyond Graphical Models

Authors

David Wingate, Brigham Young UniversityFollow

Files

Description

Areas of Interest: Probabilistic programming, machine learning, signal processing, robotics, medical imaging, probabilistic inference, reinforcement learning

Publication Date

8-2015

Publisher

Research Networking Conference

City

Provo

Keywords

Probabilistic programming, Scalable inference, Graphical models, Hardware accelerated inference, Dynamical systems modeling, Bayesian RL, Robotics, Dexterous manipulation, Low-cost medical imaging, Vital signs monitoring

Recommended Citation

Wingate, David, "Probabilistic Programming: Beyond Graphical Models" (2015). BYU Research Development Office Research Networking Conference. 20.
https://scholarsarchive.byu.edu/researchnetworking/20