Jan 28, 2021 · Abstract:This paper provides elementary analyses of the regret and generalization of minimum-norm interpolating classifiers (MNIC).
Abstract. This paper provides elementary analyses of the regret and generalization of minimum- norm interpolating classifiers (MNIC).
Mar 6, 2024 · This paper provides elementary analyses of the regret and generalization of minimum-norm interpolating classifiers (MNIC).
A mistake bound is derived for MNIC and a regularized variant that holds for all data sets and it is shown that as long as the population class conditional ...
Abstract. This paper provides elementary analyses of the regret and generalization of minimum- norm interpolating classifiers (MNIC).
Jan 28, 2021 · This paper provides elementary analyses of the regret and generalization of minimum-norm interpolating classifiers (MNIC).
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Liang, Tengyuan and Recht, Benjamin "Interpolating Classifiers Make Few Mistakes" Journal of machine learning research , v.24 , 2023 Citation Details. Liang ...
Interpolating Classifiers Make Few Mistakes. Tengyuan Liang and Benjamin Recht. Journal of Machine Learning Research 24: 1-27, 2023. Towards psychologically ...
2015. A precise high-dimensional asymptotic theory for Boosting and minimum-ℓ1-norm interpolated classifiers ... Interpolating Classifiers Make Few Mistakes. T ...