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Quantile Bandits for Best Arms Identification with Concentration Inequalities

Oct 22, 2020
Mengyan Zhang, Cheng Soon Ong


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New Tricks for Estimating Gradients of Expectations

Jan 31, 2019
Christian J. Walder, Richard Nock, Cheng Soon Ong, Masashi Sugiyama


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Cold-start Playlist Recommendation with Multitask Learning

Jan 18, 2019
Dawei Chen, Cheng Soon Ong, Aditya Krishna Menon

* 15 pages 

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A Primer on Causal Analysis

Jun 05, 2018
Finnian Lattimore, Cheng Soon Ong

* Parts of this document are copied verbatim from Finnian Lattimore's PhD thesis, ANU 2018 

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Provably Fair Representations

Oct 12, 2017
Daniel McNamara, Cheng Soon Ong, Robert C. Williamson


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Revisiting revisits in trajectory recommendation

Aug 17, 2017
Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong

* 6 pages 

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Multivariate Spearman's rho for aggregating ranks using copulas

Dec 02, 2016
Justin Bedo, Cheng Soon Ong

* Journal of Machine Learning Research, 17(201):1-30, 2016 

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A Modular Theory of Feature Learning

Nov 09, 2016
Daniel McNamara, Cheng Soon Ong, Robert C. Williamson


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Hawkes Processes with Stochastic Excitations

Sep 22, 2016
Young Lee, Kar Wai Lim, Cheng Soon Ong

* Proceedings of The 33rd International Conference on Machine Learning (ICML), pp. 79-88. JMLR. 2016 
* Copy of ICML paper 

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Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches

Sep 05, 2016
Dongwoo Kim, Lexing Xie, Cheng Soon Ong

* The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016) 

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Learning Points and Routes to Recommend Trajectories

Aug 25, 2016
Dawei Chen, Cheng Soon Ong, Lexing Xie


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A scaled Bregman theorem with applications

Jul 01, 2016
Richard Nock, Aditya Krishna Menon, Cheng Soon Ong


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Open science in machine learning

Feb 24, 2014
Joaquin Vanschoren, Mikio L. Braun, Cheng Soon Ong


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