Web: http://arxiv.org/abs/2209.07067

Sept. 16, 2022, 1:13 a.m. | Bastian Jung, Fredrik D Johansson

stat.ML updates on arXiv.org arxiv.org

In domains where sample sizes are limited, efficient learning algorithms are
critical. Learning using privileged information (LuPI) offers increased sample
efficiency by allowing prediction models access to types of information at
training time which is unavailable when the models are used. In recent work, it
was shown that for prediction in linear-Gaussian dynamical systems, a LuPI
learner with access to intermediate time series data is never worse and often
better in expectation than any unbiased classical learner. We provide new …

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