sparse-methods

This paper studies using sparse PPMI graph averaging to refine Random Indexing embeddings, showing it improves accuracy on a fairytales analogy benchmark but trails neural baselines on text8 and SimLex-999.

This paper presents a sparse Gaussian process framework for quantile regression that uses a Laplace approximation for posterior inference and variance-based mechanisms for adaptive inducing-input placement and data acquisition.