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Digital technologies are becoming increasingly prevalent in education, enabling personalized, high quality education resources to be accessible by students across the world.
Diagnostic questions: Is there value in just one?
C. Wylie and D. Wiliam · 2006
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The netflix prize
James Bennett, Stan Lanning, et al · 2007
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A contextual-bandit approach to personalized news article recommendation
Lihong Li, Wei Chu, John Langford, and Robert E Schapire · 2010
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The yahoo! music dataset and kdd-cup’11
Gideon Dror, Noam Koenigstein, Yehuda Koren, and Markus Weimer · 2012
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Missforest—non-parametric missing value imputation for mixed-type data
Daniel J Stekhoven and Peter Bühlmann · 2012
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The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan · 2015
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A multiworld testing decision service
Alekh Agarwal, Sarah Bird, Markus Cozowicz, Luong Hoang, John Langford, Stephen Lee, Jiaji Li, Dan Melamed, Gal Oshri, Oswaldo Ribas, et al · 2016
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The role of retrieval in answering multiple-choice questions
J. Little, E. Frickey, and A. Fung · 2018
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Gain: Missing data imputation using generative adversarial nets
Jinsung Yoon, James Jordon, and Mihaela Van Der Schaar · 2018
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Icebreaker: Element-wise active information acquisition with bayesian deep latent gaussian model
W. Gong, S. Tschiatschek, R. Turner, S. Nowozin, J. M. Hernández-Lobato, and C. Zhang · 2019
Later among the works it cites.
Statistical analysis with missing data
Roderick JA Little and Donald B Rubin · 2019
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EDDI: Efficient dynamic discovery of high-value information with partial VAE
C. Ma, S. Tschiatschek, K. Palla, J. M. Hernández-Lobato, S. Nowozin, and C. Zhang · 2019
Later among the works it cites.
Large-scale educational question analysis with partial variational auto-encoders
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, and Cheng Zhang · 2020
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