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Predictive Coding for Locally-Linear Control


Mar 02, 2020
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui


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Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems


Oct 21, 2019
Zhe Dong, Bryan A. Seybold, Kevin P. Murphy, Hung H. Bui


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Training Variational Autoencoders with Buffered Stochastic Variational Inference


Feb 27, 2019
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon

* AISTATS 2019 

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Amortized Inference Regularization


May 23, 2018
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon


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A DIRT-T Approach to Unsupervised Domain Adaptation


Mar 19, 2018
Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon

* ICLR 2018 

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Bottleneck Conditional Density Estimation


Jun 30, 2017
Rui Shu, Hung H. Bui, Mohammad Ghavamzadeh


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Robust Dialog State Tracking for Large Ontologies


May 07, 2016
Franck Dernoncourt, Ji Young Lee, Trung H. Bui, Hung H. Bui

* Paper accepted at IWSDS 2016 

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Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task


May 07, 2016
Franck Dernoncourt, Ji Young Lee, Trung H. Bui, Hung H. Bui

* Paper accepted at IWSDS 2016 

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MCMC for Hierarchical Semi-Markov Conditional Random Fields


Aug 06, 2014
Truyen Tran, Dinh Phung, Svetha Venkatesh, Hung H. Bui

* NIPS'09 Workshop on Deep Learning for Speech Recognition and Related Applications 

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Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data


Sep 10, 2010
Tran The Truyen, Dinh Q. Phung, Hung H. Bui, Svetha Venkatesh

* 56 pages, short version presented at NIPS'08 

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