124 citations · 147 across the 12 of their papers we have counts for
4 papers · 1 filter
An iterative method for classification of binary data
Denali Molitor, Deanna Needell
In today's data driven world, storing, processing, and gleaning insights from large-scale data are major challenges. Data compression is often required in order to store large amou…
Hierarchical Classification using Binary Data
Denali Molitor, Deanna Needell
In classification problems, especially those that categorize data into a large number of classes, the classes often naturally follow a hierarchical structure. That is, some classes…
Model Agnostic Supervised Local Explanations
Gregory Plumb, Denali Molitor, Ameet Talwalkar
Model interpretability is an increasingly important component of practical machine learning. Some of the most common forms of interpretability systems are example-based, local, and…
Matrix Completion for Structured Observations
Denali Molitor, Deanna Needell
The need to predict or fill-in missing data, often referred to as matrix completion, is a common challenge in today's data-driven world. Previous strategies typically assume that n…