5 citations · 9 across the 8 of their papers we have counts for
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cs.LG2019★ 3 cited
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Yu Chen, Tom Diethe, Neil Lawrence
Continual learning aims to enable machine learning models to learn a general solution space for past and future tasks in a sequential manner. Conventional models tend to forget the…
stat.ML2019★ 5 cited
-IRT: A New Item Response Model and its Applications
Yu Chen, Telmo Silva Filho, Ricardo B. C. Prudêncio +2
Item Response Theory (IRT) aims to assess latent abilities of respondents based on the correctness of their answers in aptitude test items with different difficulty levels. In this…