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Melanie F. Pradier

2 accepted papers

2022

Repairing Neural Networks by Leaving the Right Past Behind

NeurIPS 2022accept

Prediction failures of machine learning models often arise from deficiencies in training data, such as incorrect labels, outliers, and selection biases. However, such data points that are responsible for a given failure mode are generally not known a priori, let alone a mechanism for repairing the f…

Cited by 36SourcePDFScholar
2018

Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade

ICASSP 2018accepted

This paper presents a Bayesian nonparametric latent feature model specially suitable for exploratory analysis of high-dimensional count data. We perform a non-negative doubly sparse matrix factorization that has two main advantages: not only we are able to better approximate the row input distributi…

Cited by 0SourceScholar