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Department of Computer Science, Columbia University. Travel and Business Expense Reimbursement. Dual MS in Journalism and Computer Science Program. Apply for MS and PhD Programs. With Amazon Research Award, Eugene Wu will add interact.
I am a research scientist at Google. student, where I am advised by David Blei. I work in the fields of Bayesian statistics, machine learning, and deep learning. I am most interested in probabilistic models, whether it be in their development, inference, or more generally their foundations for computational and statistical analysis. I lead development of Edward. A probabilistic programming language in TensorFlow. I used to be on the Stan.
This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy.
Information-optimal hierarchies for bounded rational inference and decision-making. Max Planck institute for Intelligent Systems. Max Planck institute for Biological Cybernetics. Information-optimal hierarchies for bounded rational inference and decision-making. Max Planck institute for Intelligent Systems. Max Planck institute for Biological Cybernetics. I am a PhD student at the Sensorimotor Learning and Decision-Making.
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A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields Bayesian statistics and machine learning, deep learning, and probabilistic programming. Neural networks via libraries such as Keras.PARSED CONTENT
The website had the following in the site, "A library for probabilistic modeling, inference, and criticism." I viewed that the web page stated " Edward is a Python library for probabilistic modeling, inference, and criticism." They also said " It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields Bayesian statistics and machine learning, deep learning, and probabilistic programming. Neural networks via libraries such as Keras."SEE SUBSEQUENT WEB PAGES
I am a Postdoctoral Research Scientist with David Blei. At the Data Science Institute and the Department of Computer Science at Columbia University, and with Zoubin Ghahramani. For further information about me.
Lanna Innovation and Digital Media Development Center.
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