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stat.ML2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling
Wei-Yin Ko, Daniel D'souza, Karina Nguyen +2
Ensembling multiple Deep Neural Networks (DNNs) is a simple and effective way to improve top-line metrics and to outperform a larger single model. In this work, we go beyond top-li…
stat.ML2017★ 1 cited
Multiscale Residual Mixture of PCA: Dynamic Dictionaries for Optimal Basis Learning
Randall Balestriero
In this paper we are interested in the problem of learning an over-complete basis and a methodology such that the reconstruction or inverse problem does not need optimization. We a…
stat.ML2017★ 19 cited
Neural Decision Trees
Randall Balestriero
In this paper we propose a synergistic melting of neural networks and decision trees (DT) we call neural decision trees (NDT). NDT is an architecture a la decision tree where each…