Distributed, partially collapsed MCMC for Bayesian Nonparametrics

Jan 15, 2020
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson

* Accepted in AISTATS 2020 

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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

* 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

* 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

* 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

* 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

* 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

* 9 pages 

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