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19942023
most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations · 1.4k across the 37 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.DL2016★ 32 cited

Bibliographic Analysis with the Citation Network Topic Model

Kar Wai Lim, Wray Buntine

Bibliographic analysis considers author's research areas, the citation network and paper content among other things. In this paper, we combine these three in a topic model that pro…

cs.CL2016★ 44 cited

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

Kar Wai Lim, Changyou Chen, Wray Buntine

Twitter data is extremely noisy -- each tweet is short, unstructured and with informal language, a challenge for current topic modeling. On the other hand, tweets are accompanied b…

stat.ML2016★ 37 cited

Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes

Kar Wai Lim, Wray Buntine, Changyou Chen +1

The Dirichlet process and its extension, the Pitman-Yor process, are stochastic processes that take probability distributions as a parameter. These processes can be stacked up to f…

cs.CL2016★ 44 cited

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

Kar Wai Lim, Wray Buntine

Aspect-based opinion mining is widely applied to review data to aggregate or summarize opinions of a product, and the current state-of-the-art is achieved with Latent Dirichlet All…

cs.DL2016★ 22 cited

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

Kar Wai Lim, Wray Buntine

Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model…