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James McInerney, statistical machine learning

I am a Research Scientist at Spotify in New York. My research interests are in latent variable models, variational inference, empirical Bayes, and causality. I have developed a number of Bayesian machine learning techniques presented at top tier machine learning conferences that are successful on text, recommendation, and mobility data. Previously, I did my postdoctoral training at Princeton University and Columbia University under the advisory of David Blei. I obtained a PhD. J McInerney, 2014. This wor...

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James McInerney, statistical machine learning | jamesmc.com Reviews
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I am a Research Scientist at Spotify in New York. My research interests are in latent variable models, variational inference, empirical Bayes, and causality. I have developed a number of Bayesian machine learning techniques presented at top tier machine learning conferences that are successful on text, recommendation, and mobility data. Previously, I did my postdoctoral training at Princeton University and Columbia University under the advisory of David Blei. I obtained a PhD. J McInerney, 2014. This wor...
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James McInerney, statistical machine learning | jamesmc.com Reviews

https://jamesmc.com

I am a Research Scientist at Spotify in New York. My research interests are in latent variable models, variational inference, empirical Bayes, and causality. I have developed a number of Bayesian machine learning techniques presented at top tier machine learning conferences that are successful on text, recommendation, and mobility data. Previously, I did my postdoctoral training at Princeton University and Columbia University under the advisory of David Blei. I obtained a PhD. J McInerney, 2014. This wor...

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James McInerney -- Probabilistic Modelling and Inference

http://www.jamesmc.com/blog

James McInerney — Probabilistic Modelling and Inference. A Causal Study of Simulated Patient Recovery Data. Posted on February 7, 2016. I'm currently reading "Do No Harm". By Henry Marsh, a fascinating autobiography of a neurosurgeon. Since I'm also reading about causality in statistics, naturally the two have combined in my mind to make the following worked example of causality. Let's make a set of statistical modelling assumptions about how this data was generated. For patient n = 1,.,N:. What this gen...

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Article{mcinerney2015population, title={The Population Posterior and Bayesian Inference on Streams}, author={McInerney, James and Ranganath, Rajesh and Blei, David M}, journal={Neural Information Processing (NIPS)}, year={2015} }. Inproceedings{liang2016modeling, title={Modeling user exposure in recommendation}, author={Liang, Dawen and Charlin, Laurent and McInerney, James and Blei, David M}, booktitle={International World Wide Web Conference (WWW)}, year={2016}, }. Inproceedings{mcinerney2013modelling,...

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James McInerney, statistical machine learning

I am a Research Scientist at Spotify in New York. My research interests are in latent variable models, variational inference, empirical Bayes, and causality. I have developed a number of Bayesian machine learning techniques presented at top tier machine learning conferences that are successful on text, recommendation, and mobility data. Previously, I did my postdoctoral training at Princeton University and Columbia University under the advisory of David Blei. I obtained a PhD. J McInerney, 2014. This wor...

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