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Two-Stage Neural Contextual Bandits for Personalised News Recommendation


Jun 26, 2022
Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong


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Gaussian Process Bandits with Aggregated Feedback


Dec 24, 2021
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong

* to be published in 36th AAAI Conference on Artificial Intelligence (2022) 

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Factorized Fourier Neural Operators


Nov 30, 2021
Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong

* To be presented at the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021). Code is available at https://github.com/alasdairtran/fourierflow 

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Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series


Feb 15, 2021
Alasdair Tran, Alexander Mathews, Cheng Soon Ong, Lexing Xie

* Proceedings of The Web Conference 2021 (WWW '21) 
* Published in The Web Conference 2021. Code is available at https://github.com/alasdairtran/radflow 

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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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