2 papers
math.MG2020
Universal consistency of the -NN rule in metric spaces and Nagata dimension
Benoît Collins, Sushma Kumari, Vladimir G. Pestov
The nearest neighbour learning rule (under the uniform distance tie breaking) is universally consistent in every metric space that is sigma-finite dimensional in the sense…
stat.ML2018
Topics in Random Matrices and Statistical Machine Learning
Sushma Kumari
This thesis consists of two independent parts: random matrices, which form the first one-third of this thesis, and machine learning, which constitutes the remaining part. The main…