121 citations · 189 across the 5 of their papers we have counts for
6 papers
Learning Interpretable Heuristics for WalkSAT
Yannet Interian, Sara Bernardini
Local search algorithms are well-known methods for solving large, hard instances of the satisfiability problem (SAT). The performance of these algorithms crucially depends on heuri…
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes, Wilmer Arbelo, Yannet Interian +1
Many regression and classification procedures fit a parameterized function of predictor variables to data based on some loss criterion .…
Conditional Super Learner
Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas Mark J. Van der Laan
In this article we consider the Conditional Super Learner (CSL), an algorithm which selects the best model candidate from a library conditional on the covariates. The CSL expands t…
Targeted transfer learning to improve performance in small medical physics datasets
Miguel Romero, Yannet Interian, Timothy Solberg +1
The growing use of Machine Learning has produced significant advances in many fields. For image-based tasks, however, the use of deep learning remains challenging in small datasets…
ContamiNet: Detecting Contamination in Municipal Solid Waste
Khoury Ibrahim, Danielle A. Savage, Addie Schnirel +2
Leveraging over 30,000 images each with up to 89 labels collected by Recology---an integrated resource recovery company with both residential and commercial trash, recycling and co…
Expert-Augmented Machine Learning
E. D. Gennatas, J. H. Friedman, L. H. Ungar +10
Machine Learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption by the level of t…