Chaitanya Dwivedi

Deep kernels with probabilistic embeddings for small-data learning

Gaussian Processes (GPs) are known to provide accurate predictions and uncertainty estimates even with small amounts of labeled data by capturing similarity between data points through their kernel function. However traditional GP kernels are not very effective at capturing similarity between high d…