no code implementations • L4DC 2020 • Trevor Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer Bouchard
A well-known feature of RML inference is that in general the technique produces a trade-off between sparsity and bias that depends on the choice of the regularization hyperparameter.
no code implementations • 21 Aug 2018 • Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer Bouchard
The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive.