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arXiv · 2009.06172

The Shooting Regressor; Randomized Gradient-Based Ensembles

Nicholas Smith
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Abstract

An ensemble method is introduced that utilizes randomization and loss function gradients to compute a prediction. Multiple weakly-correlated estimators approximate the gradient at randomly sampled points on the error surface and are aggregated into a final solution. A scaling parameter is described that controls a trade-off between ensemble correlation and precision. Numerical methods for estimating optimal values of the parameter are described. Empirical results are computed over a popular dataset. Inferential statistics on these results show that the method is capable of outperforming existing techniques in terms of increased accuracy.

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Nicholas Smith. 2020-09-14. The Shooting Regressor; Randomized Gradient-Based Ensembles. https://arxiv.org/abs/2009.06172

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