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stat.ML2025
Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning
Gargi Roy, Dalia Chakrabarty
We introduce parametrisation of that property of the available training dataset, that necessitates an inhomogeneous correlation structure for the function that is learnt as a model…
stat.ML2024
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures
Gargi Roy, Dalia Chakrabarty
We present a new strategy for learning the functional relation between a pair of variables, while addressing inhomogeneities in the correlation structure of the available data, by…