3 papers
stat.ML2025
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
Cullen Anderson, Jeff M. Phillips
Robust statistics aims to compute quantities to represent data where a fraction of it may be arbitrarily corrupted. The most essential statistic is the mean, and in recent years, t…
cs.CL2023
A Large Language Model Approach to Educational Survey Feedback Analysis
Michael J. Parker, Caitlin Anderson, Claire Stone +1
This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in…
cs.IR2018
A survey of food recommenders
Carl Anderson
Everyone eats. However, people do not always know what to eat. They need a little help and inspiration. Consequently, a number of apps, services, and programs have developed recomm…