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Deep End-to-end Causal Inference


Feb 04, 2022
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang


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VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups


Oct 15, 2021
Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang


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CoRGi: Content-Rich Graph Neural Networks with Attention


Oct 10, 2021
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis


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Contextual HyperNetworks for Novel Feature Adaptation


Apr 12, 2021
Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang

* 17 pages, 9 Figures, workshop paper at NeurIPS 2020 Meta-Learning Workshop 

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A Study on Efficiency in Continual Learning Inspired by Human Learning


Oct 28, 2020
Philip J. Ball, Yingzhen Li, Angus Lamb, Cheng Zhang

* Accepted at NeurIPS 2020 BabyMind Workshop 

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Diagnostic Questions:The NeurIPS 2020 Education Challenge


Aug 03, 2020
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

* 28 pages, 6 figures, NeurIPS 2020 Competition Track 

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