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Personal profile

Biography

Wray is a Professor in the Faculty of Information Technology at Monash University in Melbourne, Australia.

He enjoys playing with web/text data and writing code, and supports some of his work on Github (wbuntine). His research interests include theoretical and applied work in document and text analysis, machine learning, and probabilistic methods including:

  • discrete non-parametric Bayesian statistics
  • latent variables in semi-structured and text analysis
  • topic models for semi-structured data
  • applications in medical and health infomatics. 

He teaches in 2018 Introduction to data science (FIT5145) and Modelling for data analysis (FIT5197) and in 2019 Data analysis for semi-structured data (FIT5212).  He also directs the Master of Data Science, see the introduction to new students at Youtube.

See more at blog and academic webpage at TopicModels.ORG website (see links section, below).

Find about publications on GoogleDBLPORCID and ResearchGate.

Current activity:

  • visiting University oof Helsinki, Winter 2018-2019
  • attending ACML 2018 in Beijing in November 2018, ECML-PKDD in Dublin in September 2018, PAKDD in Melbourne in June 2018
  • attended 9th ACML in Seoul, Korea in November, 2017, ICML and UAI in Sydney, August 2017

Service activity:

  • editorial board for Knowledge and Information Systems, Data Mining and Knowledge Discovery, and Behaviormetrika
  • senior PC for AAAI 2019, ACML 2018, IJCAI 2018, UAI 2017, ACML 2017, KDD 2017, IJCAI 2016, KDD 2016 and KDD 2015
  • hiring and grant review panels

Completed students:

  • Novi Quadrianto: ANU. Supervisory panel member for Doctoral Thesis "Learning for the Internet: Kernel Embeddings and Optimisation," awarded 2011.
  • Lan Du: ANU. Supervisor for Doctoral Thesis "Non-parametric Bayesian Methods for Structured Topic Models"awarded 2012. 
  • Changyou Chen: ANU. Supervisor for PhD Thesis "Dependent Normalized Random Measures," from 2011, awarded 2014.
  • Aaron Li: ANU. Supervisor for Honours Thesis "Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling," awarded 1st class honours December 2012. 
  • Kar Wai Lim: ANU. Supervisor for PhD Thesis, started 2012, completed 2016.
  • Swapnil Mishra: Supervisor for Master Thesis "Sparse and Hierarchical Topic Modeling." Awarded 1st class honours, July 2014.

Related Links:

Research interests

Theoretical and applied research in document and text analysis, data mining and machine learning, probabilistic methods and information retireval. Main effort is in applying probabilistic and non-parametric Bayesan methods to tasks such as text analysis, topic modelling, language analysis and medical and health informatics.

External positions

Fellow, University of Helsinki

4 Apr 2007 → …

Keywords

  • Artificial Intelligence
  • Bayesian non-parametrics
  • Computational intelligence and neural networks
  • Data Analysis
  • Data mining
  • Text mining
  • Machine Learning
  • Bayesian Inference
  • Bayesian Networks

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2016

Research Output 2008 2018

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

Petitjean, F., Buntine, W., Webb, G. I. & Zaidi, N. Sep 2018 In : Machine Learning. 107, 8-10, p. 1303-1331 29 p.

Research output: Contribution to journalArticleResearchpeer-review

Adaptive knowledge sharing in multi-task learning: improving low-resource neural machine translation

Zaremoodi, P., Buntine, W. & Haffari, G. 2018 ACL 2018 - The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). Gurevych, I. & Miyao, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 656-661 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences

Zhao, H., Rai, P., Du, L. & Buntine, W. 2018 2018 Twenty-First International Conference on Artificial Intelligence and Statistics, AISTATS 2018 : 9-11 April 2018, Lanzarote, Canary Islands, Proceedings . Storkey, A. & Perez-Cruz, F. (eds.). Lanzarote, Canary Islands: PMLR, Vol. 84, p. 1943-1951 9 p. (Proceedings of Machine Learning Research; vol. 84)

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Experiments with Learning Graphical Models on Text

Capdevila , J., Zhao, H., Petitjean, F. & Buntine, W. L. 2018 (Accepted/In press) In : Behaviormetrika. 25 p.

Research output: Contribution to journalArticleResearchpeer-review

Learning how to actively learn: a deep imitation learning approach

Liu, M., Buntine, W. & Haffari, G. 2018 ACL 2018 - The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). Gurevych, I. & Miyao, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 1874-1883 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Activities 2016 2016

  • 3 Committees and working groups