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Transformation Autoregressive Networks


Oct 23, 2018
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

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* ICML 2018 

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Bayesian Nonparametric Kernel-Learning


Jan 30, 2018
Junier Oliva, Avinava Dubey, Andrew G. Wilson, Barnabas Poczos, Jeff Schneider, Eric P. Xing

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Personalized Survival Prediction with Contextual Explanation Networks


Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

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* Machine Learning for Healthcare Workshop, NIPS 2017 

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The Intriguing Properties of Model Explanations


Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

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* Interpretable ML Symposium, NIPS 2017 

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Contextual Explanation Networks


Jan 30, 2018
Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing

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Parallel Markov Chain Monte Carlo for the Indian Buffet Process


Mar 09, 2017
Michael M. Zhang, Avinava Dubey, Sinead A. Williamson

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* Workshop paper in Bayesian Nonparametrics: The Next Generation, NIPS 2015 

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Science Question Answering using Instructional Materials


Apr 05, 2016
Mrinmaya Sachan, Avinava Dubey, Eric P. Xing

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* Corrected that the science QA dataset is NOT freely available 

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Large-scale randomized-coordinate descent methods with non-separable linear constraints


Jun 10, 2015
Sashank Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra

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Exact and Efficient Parallel Inference for Nonparametric Mixture Models


Nov 29, 2012
Sinead A. Williamson, Avinava Dubey, Eric P. Xing

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A non-parametric mixture model for topic modeling over time


Aug 22, 2012
Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing

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* 9 pages 

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