Robust Machine Learning

P-lambda Group, August 2015-January 2016.

In this work, I (1) designed a novel framework to incorporate training noise into models; (2) analytically solved corresponding optimization problems and formalized an algorithm; (3) implemented the algorithm, illustrating an improvement in accuracy when test noise is present.



Related Work

  • Notes on robust machine learning.

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