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Poster
Parameter Expanded Variational Bayesian Methods
Yuan (Alan) Qi · Tommi Jaakkola
Author Information
Yuan (Alan) Qi (M.I.T.)
Tommi Jaakkola (MIT)
Tommi Jaakkola is a professor of Electrical Engineering and Computer Science at MIT. He received an M.Sc. degree in theoretical physics from Helsinki University of Technology, and Ph.D. from MIT in computational neuroscience. Following a Sloan postdoctoral fellowship in computational molecular biology, he joined the MIT faculty in 1998. His research interests include statistical inference, graphical models, and large scale modern estimation problems with predominantly incomplete data.
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2016 Poster: Learning Tree Structured Potential Games »
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2015 Poster: From random walks to distances on unweighted graphs »
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2015 Poster: Principal Differences Analysis: Interpretable Characterization of Differences between Distributions »
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2013 Poster: Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions »
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