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Fangjian Guo's Home Page

Katherine A. Heller. Department of Computer Science. Durham, NC 27708, USA. This site is mirrored at. Http:/ www.cs.duke.edu/ guo. Http:/ www.linkedin.com/in/richardkwo. Duke University Department of Computer Science. 308 Research Dr, Campus Box 90129. In general — a summary of current research. Organize, interact and behave ( e.g. social networks, human dynamics, etc. The connection between learning and Statistical physics. Eg Monte Carlo, Ising and graphical models, Belief propagation, etc. While bei...

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Fangjian Guo's Home Page | richardkwo.net Reviews

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Katherine A. Heller. Department of Computer Science. Durham, NC 27708, USA. This site is mirrored at. Http:/ www.cs.duke.edu/ guo. Http:/ www.linkedin.com/in/richardkwo. Duke University Department of Computer Science. 308 Research Dr, Campus Box 90129. In general — a summary of current research. Organize, interact and behave ( e.g. social networks, human dynamics, etc. The connection between learning and Statistical physics. Eg Monte Carlo, Ising and graphical models, Belief propagation, etc. While bei...

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1 info

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3 curriculum vitae

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10 github

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Fangjian Guo's Home Page | richardkwo.net Reviews

https://richardkwo.net

Katherine A. Heller. Department of Computer Science. Durham, NC 27708, USA. This site is mirrored at. Http:/ www.cs.duke.edu/ guo. Http:/ www.linkedin.com/in/richardkwo. Duke University Department of Computer Science. 308 Research Dr, Campus Box 90129. In general — a summary of current research. Organize, interact and behave ( e.g. social networks, human dynamics, etc. The connection between learning and Statistical physics. Eg Monte Carlo, Ising and graphical models, Belief propagation, etc. While bei...

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richardkwo.net

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Katherine A. Heller. PART: Parallelizing MCMC with Random Partition Trees. The modern scale of data has brought new challenges to Bayesian inference. In particular, conventional MCMC algorithms are computationally very expensive for large data sets. A promising approach to solve this problem is embarrassingly parallel MCMC. Is an EP-MCMC algorithm amenable to MapReduce. Xiangyu Wang, Fangjian Guo*. Katherine A. Heller and David B. Dunson. Parallelizing MCMC with random partition trees. Human beings influ...

2

Richard Guo

http://www.richardkwo.net/index.html

Katherine A. Heller. Department of Computer Science. Durham, NC 27708, USA. This site is mirrored at. Http:/ www.cs.duke.edu/ guo. Parallel MCMC, stochastic/subsampling-based algorithms, relaxations. Sparsity, low rank, networks, etc. Point process modeling for social interactions and human behaviors. Connecting learning and statistical mechanics. Monte Carlo, belief propagation, phase transition, etc. In the Duke Statistical Machine Learning Group. I also work with Prof. David Dunson. While being a CS m...

3

Curriculum Vitae

http://www.richardkwo.net/CV.html

Katherine A. Heller. My full CV in PDF format. Last update: December, 2015. Page generated 2015-12-05 22:32:03 EST, by jemdoc.

4

Power-law Constrains Memory?

http://www.richardkwo.net/powermemproject.html

Katherine A. Heller. Is ubiquitous in data from complex systems, such as traffic, social networks and human activities. Meanwhile, most of the inter-event time series from such real systems are also found to be positively autocorrelated (positive memory). In this study, we analyze the hidden relation between memory and power-law distribution. We want to know whether such a positive tendency in memory is due to the constraints imposed by the power-law marginal. And its lag-one counterpart. Two notable sta...

5

Publications

http://www.richardkwo.net/publication.html

Katherine A. Heller. David Wipf, Xiangyu Wang and Katherine Heller. Bayesian Automatic Rank Determination. And Henry Pfister. An EM-BP algorithm for matrix completion. Zimo Yang, Zhidan Zhao and Tao Zhou. Memory constraints for power-law series. Xiangyu Wang, Fangjian Guo*. Katherine A. Heller and David B. Dunson. Parallelizing MCMC with random partition trees. And David B. Dunson. Uncovering systematic bias in ratings across categories: a Bayesian approach. San Diego, CA, USA. JMLR: W&CP volume 38.

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ML faculty/PIs across MIT MIT Center for Statistics and Data Science. Postdocs, Visitors, and more. Massachusetts Institute of Technology.

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1st year Ph.D. Columbia University, Psychology Dept. 1190 Amsterdam Ave, 406 Schermerhorn Hall, New York, NY 10027. Songqi@psych.columbia.edu sq2165@columbia.edu. Http:/ songkatsuragi.blogspot.com/. Fangjian Guo (Richard Kwo). Advised by Prof. Dean Mobbs) 09/2014-present. Fear, Anxiety and Biosocial Behavioral Lab. Columbia University, U.S.A. Advised by Prof. Keith M. Kendrick) 03/2012-06/2014. Social Cognitive and Affective Neuroscience Lab. UESTC, P.R. China. University of Manitoba, Canada. Has been my...

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Fangjian Guo's Home Page

Katherine A. Heller. Department of Computer Science. Durham, NC 27708, USA. This site is mirrored at. Http:/ www.cs.duke.edu/ guo. Http:/ www.linkedin.com/in/richardkwo. Duke University Department of Computer Science. 308 Research Dr, Campus Box 90129. In general — a summary of current research. Organize, interact and behave ( e.g. social networks, human dynamics, etc. The connection between learning and Statistical physics. Eg Monte Carlo, Ising and graphical models, Belief propagation, etc. While bei...

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