A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling

Yiting Cao, Chao Lan. A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 2597-2608, PMLR, 2022. [doi]

Abstract

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