Strive for excellence

About me

I am currently a postdoc at the National University of Singapore (NUS), working with Prof. Mun Choon Chan and Prof. Bryan Low.

Previously I graduated from the Australian National University (Canberra) in December 2016. My PhD supervisor was Prof. Wray Buntine in the Monash University, Melbourne.

Research interests: Statistical Machine Learning; Stochastic Processes; Bayesian Nonparametric.

Publications

Z−Transforms and its Inference on Partially Observable Point Processes

Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), pp. 2369-2375. IJCAI. 2018. [link] [paper] [bibtex]


Bayesian Bivariate Hawkes

Kar Wai Lim, Young Lee, Cheng Soon Ong. In Proceedings of the Workshop on Time Series Analytics and Applications (TSAA), pp. 13-18. ACM. 2016. [link] [paper] [bibtex]


Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays

Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao. In Proceedings of the 6th Asian Conference on Machine Learning (ACML), pp. 238-253. JMLR. 2016. [link] [paper] [slides1] [slides2] [code] [best paper award] [arxiv] [bibtex]


Traffic Flow Modelling with Point Processes

Kar Wai Lim, Weihong Wang, Hoang Nguyen, Young Lee, Chen Cai, Fang Chen. In Proceedings of the 23rd World Congress on Intelligent Transport Systems. ITS. 2016. [link] [paper] [slides] [bibtex]


Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes

Kar Wai Lim, Wray Buntine, Changyou Chen, Lan Du. International Journal of Approximate Reasoning, Volume 78, pp. 172-191. Elsevier. 2016. [link] [paper] [arxiv] [bibtex]


Hawkes Processes with Stochastic Excitations

Young Lee, Kar Wai Lim, Cheng Soon Ong. In Proceedings of the 33rd International Conference on Machine Learning (ICML), pp. 79-88. JMLR. 2016. [link] [paper] [supplementary] [poster] [slides] [arxiv] [bibtex]


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

Kar Wai Lim, Wray Buntine. Machine Learning, Volume 103, Issue 2, pp 185-213. Springer. 2016. [link] [paper] [data] [readme] [arxiv] [bibtex]


Bibliographic Analysis with the Citation Network Topic Model

Kar Wai Lim, Wray Buntine. In Proceedings of the 6th Asian Conference on Machine Learning (ACML), pp. 142-158. JMLR. 2014. [link] [paper] [supplementary] [poster] [slides] [arxiv] [bibtex]


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

Kar Wai Lim, Wray Buntine. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), pp. 1319-1328. ACM. 2014. [link] [paper] [supplementary] [slides1] [slides2] [arxiv] [bibtex]


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

Kar Wai Lim, Changyou Chen, Wray Buntine. Workshop paper. NIPS 2013 Topic Models: Computation, Application, and Evaluation, pp. 1-5. Google Sites. 2013. [link] [paper] [supplementary] [poster] [arxiv] [bibtex]​​


On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off

Kar Wai Lim, Scott Sanner, Shengbo Guo. In Proceedings of the 35th Annual ACM SIG Information Retrieval Conference (SIGIR), pp. 1117-1118. ACM. 2012. [link] [paper] [appendix] [poster] [slides1] [slides2] [arxiv] [bibtex]


Theses and Tech Reports

A Stable Implementation of the Adaptive Rejection Sampler in MATLAB

Kar Wai Lim. Tech Report. National University of Singapore. 2018. [report] [code]


Computing MLE Bias Empirically

Kar Wai Lim. Tech Report. The Australian National University. 2017. [report]


Nonparametric Bayesian Topic Modelling with Auxiliary Data

Kar Wai Lim (Supervisor: Wray Buntine; Advisors: Edwin Bonilla, Hanna Suominen, Scott Sanner). PhD Dissertation. The Australian National University. 2016. [link] [abstract] [thesis] [slides] [bibtex]


Bayesian Analysis of Claim Run-off Triangles

Kar Wai Lim (Supervisor: Borek Puza). Honours Thesis. The Australian National University. 2011. [link] [thesis] [bibtex]