Corpus ID: 229376930

Risk-Monotonicity in Statistical Learning

@inproceedings{Mhammedi2020RiskMonotonicityIS,
  title={Risk-Monotonicity in Statistical Learning},
  author={Zakaria Mhammedi and H. Husain},
  year={2020}
}

• Zakaria Mhammedi, H. Husain
• Published 2020
• Computer Science, Mathematics

Acquisition of data is a difficult task in many applications of machine learning, and it is only natural that one hopes and expects the populating risk to decrease (better performance) monotonically with increasing data points. It turns out, somewhat surprisingly, that this is not the case even for the most standard algorithms such as empirical risk minimization. Nonmonotonic behaviour of the risk and instability in training have manifested and appeared in the popular deep learning paradigm… Expand

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