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Wray Buntine

NICTA

Topic Modelling Meets Deep Neural Networks: A Survey


Feb 28, 2021
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine

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* A review on Neural Topic Models 
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SQAPlanner: Generating Data-InformedSoftware Quality Improvement Plans


Feb 19, 2021
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray Buntine

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 24 pages 
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Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction


Feb 04, 2021
Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray Buntine

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Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning


Nov 12, 2020
Yuan Jin, Wray Buntine, Francois Petitjean, Geoffrey I. Webb

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* Appearing in ICML 2017 
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Bibliographic Analysis with the Citation Network Topic Model


Sep 22, 2016
Kar Wai Lim, Wray Buntine

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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