Colin White

Learning Combinatorial Functions from Pairwise Comparisons

2016 · Conference on Learning Theory

A large body of work in machine learning has focused on the problem of learning a close approximation to an underlying combinatorial function, given a small set of labeled examples. However, for real-valued functions, cardinal …

Synthetic Benchmarks for Scientific Research in Explainable Machine Learning

2021 · arXiv (Cornell University)

As machine learning models grow more complex and their applications become more high-stakes, tools for explaining model predictions have become increasingly important. This has spurred a flurry of research in model explainability and has given …

NAS-Bench-x11 and the power of learning curves

2021 · FreiDok plus (Universitätsbibliothek Freiburg)

While early research in neural architecture search (NAS) required extreme computational resources, the recent releases of tabular and surrogate benchmarks have greatly increased the speed and reproducibility of NAS research. However, two of the most …