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approximateinference.org

Approximate Inference

Advances in Approximate Bayesian Inference. NIPS 2016 Workshop; December 9, 2016. Room 112, Centre Convencions Internacional Barcelona, Barcelona, Spain. Michael I. Jordan. In this year's workshop, we would like to continue the theme of approximate Bayesian inference with additional emphases. In particular, we encourage submissions not only advancing approximate inference but also regarding (1) unconventional inference techniques, with the aim to bring together diverse communities; (2) software tools...

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Approximate Inference | approximateinference.org Reviews
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Advances in Approximate Bayesian Inference. NIPS 2016 Workshop; December 9, 2016. Room 112, Centre Convencions Internacional Barcelona, Barcelona, Spain. Michael I. Jordan. In this year's workshop, we would like to continue the theme of approximate Bayesian inference with additional emphases. In particular, we encourage submissions not only advancing approximate inference but also regarding (1) unconventional inference techniques, with the aim to bring together diverse communities; (2) software tools...
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1 schedule
2 call for papers
3 accepted papers
4 program committee
5 organizers
6 tamara broderick
7 stephan mandt
8 james mcinerney
9 dustin tran
10 advisory committee
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schedule,call for papers,accepted papers,program committee,organizers,tamara broderick,stephan mandt,james mcinerney,dustin tran,advisory committee,david blei,kevin murphy,andrew gelman,invited speakers,barbara engelhardt,princeton university,uc berkeley
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Approximate Inference | approximateinference.org Reviews

https://approximateinference.org

Advances in Approximate Bayesian Inference. NIPS 2016 Workshop; December 9, 2016. Room 112, Centre Convencions Internacional Barcelona, Barcelona, Spain. Michael I. Jordan. In this year's workshop, we would like to continue the theme of approximate Bayesian inference with additional emphases. In particular, we encourage submissions not only advancing approximate inference but also regarding (1) unconventional inference techniques, with the aim to bring together diverse communities; (2) software tools...

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ml.mit.edu ml.mit.edu

Machine Learning at MIT

http://ml.mit.edu/index.html

Mailing list: ML Tea. Welcome to the Machine Learning Group (MLG). We are a small group of researchers with shared interests in machine learning. We work on a variety of topics spanning theoretical foundations, algorithms, and applications. T Broderick co-organizing Statistical Inference for Network Models Symposium. Receives a Google Faculty Research. Holding a Simons Institute Tutorial. On Nonparameteric Bayesian Methods in ML. Welcome new ML graduate students! Holding a NIPS Tutorial. With F. Bach).

julyanarbel.com julyanarbel.com

Speaking - Julyan Arbel

http://www.julyanarbel.com/speaking

11th Conference on Bayesian Nonparametrics. Paris, France, June. Journées de Statistique de la SFdS. Avignon, France, May 29 - June 2. Université du Québec à Montréal. May 25. Talk: Bayesian nonparametric inference for discovery probabilities. Statistical Science Seminar Series. Duke University, Durham, April 14. Bayesian nonparametric inference for discovery probabilities. Eindhoven, Netherlands,. January 23-25. T. Bayesian nonparametric inference for discovery probabilities. Barcelona, Spain, December.

tamarabroderick.com tamarabroderick.com

Tamara Broderick

http://www.tamarabroderick.com/index.html

I am the ITT Career Development Assistant Professor at MIT. I work in the areas of statistics. Before MIT, I completed my PhD at UC Berkeley. You can learn more about my background in the following short bio. Electrical Engineering and Computer Science ( EECS. Computer Science and Artificial Intelligence Laboratory ( CSAIL. Institute for Data, Systems, and Society ( IDSS. Interested in working with me? I have an open postdoc position. Learn more at this link. Adapted from template design by Arcsin.

michaelchughes.com michaelchughes.com

CV for Michael C. Hughes - Michael C. Hughes

http://www.michaelchughes.com/cv.html

Michael C. Hughes. CV for Michael C. Hughes. Last updated: February 02 2017. PhD, Computer Science. Olin College of Engineering. BS Electrical and Computer Engineering. Postdoctoral fellow: Machine learning for clinical interpretability. Fall 2016 - present. Adviser: Prof. Finale Doshi-Velez (Harvard). Collaboration with MGH to improve prediction of drugs for mental health patients. Collaboration with MIT to better suggest interventions in the ICU. Supported by gift from Oracle. Developed methods to disc...

tamarabroderick.com tamarabroderick.com

Tamara Broderick

http://www.tamarabroderick.com/present.html

2016 May 6. I am co-organizing New England Machine Learning Day. NEML 2016), Cambridge, MA, USA. [link]. 2016 May 16. I will be giving a tutorial on Nonparametric Bayesian Statistics at the MLSS in Cádiz, Spain. [link]. 2016 May 18. GraphEx Symposium, MA, USA. [link]. 2016 May 23. MIT Lincoln Laboratory, MA, USA. 2016 June 6–10. Statistical Challenges in Modern Astronomy VI. 2016 June 12. ISBA Short Courses. Sardinia, Italy. [link]. 2016 June 13–17. ISBA World Meeting. Sardinia, Italy. [link]. 2015 Decem...

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Approximate Inference

Advances in Approximate Bayesian Inference. NIPS 2016 Workshop; December 9, 2016. Room 112, Centre Convencions Internacional Barcelona, Barcelona, Spain. Michael I. Jordan. In this year's workshop, we would like to continue the theme of approximate Bayesian inference with additional emphases. In particular, we encourage submissions not only advancing approximate inference but also regarding (1) unconventional inference techniques, with the aim to bring together diverse communities; (2) software tools...

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