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Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation

Oct 12, 2020
Fahimeh Saleh, Wray Buntine, Gholamreza Haffari


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Neural Sinkhorn Topic Model

Aug 12, 2020
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine


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Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Jul 14, 2020
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid, Hamid Laga, Mohammed Bennamoun

* 35 pages, 15 figures 

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$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records

Dec 08, 2019
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray Buntine


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Gaussian Embedding of Large-scale Attributed Graphs

Dec 02, 2019
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray Buntine


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LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations

Aug 11, 2019
Dilini Rajapaksha, Christoph Bergmeir, Wray Buntine

* 8 pages, 6 figures 

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Variational Autoencoders for Sparse and Overdispersed Discrete Data

May 24, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou


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Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data

May 02, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou

* Code at https://github.com/ethanhezhao/NBVAE 

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Dirichlet belief networks for topic structure learning

Nov 02, 2018
He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

* accepted in NIPS 2018 

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Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes

May 08, 2018
Francois Petitjean, Wray Buntine, Geoffrey I. Webb, Nayyar Zaidi


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Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing

Feb 14, 2018
Yuan Jin, Mark Carman, Ye Zhu, Wray Buntine


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MetaLDA: a Topic Model that Efficiently Incorporates Meta information

Sep 19, 2017
He Zhao, Lan Du, Wray Buntine, Gang Liu

* To appear in ICDM 2017 

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Leveraging Node Attributes for Incomplete Relational Data

Jun 14, 2017
He Zhao, Lan Du, Wray Buntine

* Appearing in ICML 2017 

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Bibliographic Analysis with the Citation Network Topic Model

Sep 22, 2016
Kar Wai Lim, Wray Buntine

* Proceedings of the Sixth Asian Conference on Machine Learning (ACML), pp. 142-158. JMLR. 2014 
* A copy of ACML paper. arXiv admin note: substantial text overlap with arXiv:1609.06532 

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Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling

Sep 22, 2016
Kar Wai Lim, Changyou Chen, Wray Buntine

* NIPS 2013 Topic Models: Computation, Application, and Evaluation, pp. 1-5. Google Sites. 2013 
* NIPS workshop paper 

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Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes

Sep 22, 2016
Kar Wai Lim, Wray Buntine, Changyou Chen, Lan Du

* International Journal of Approximate Reasoning, Volume 78, pp. 172-191. Elsevier. 2016 
* Preprint for International Journal of Approximate Reasoning 

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Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon

Sep 21, 2016
Kar Wai Lim, Wray Buntine

* Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), pp. 1319-1328. ACM. 2014 
* CIKM paper 

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Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network

Sep 21, 2016
Kar Wai Lim, Wray Buntine

* Machine Learning 103(2):185-213, 2016 
* Preprint for Journal Machine Learning 

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Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling

Jun 18, 2012
Changyou Chen, Nan Ding, Wray Buntine

* ICML2012 

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Theory of Dependent Hierarchical Normalized Random Measures

May 25, 2012
Changyou Chen, Wray Buntine, Nan Ding


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A Bayesian View of the Poisson-Dirichlet Process

Feb 15, 2012
Wray Buntine, Marcus Hutter

* 50 LaTeX pages, 10 figures, 3 tables, 1 algorithm 

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