This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: International Business Machines Corporation, University of Michigan. Active years: 2025.
Company Filing History:
2 out of 166,264 
2 out of 3,523 
Years Active: 2025
Title: Innovations of Yuekai Sun
Introduction
Yuekai Sun is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of machine learning, particularly in developing fair algorithms. With a total of 2 patents, his work focuses on optimizing machine learning models to ensure fairness and accuracy.
Latest Patents
Yuekai Sun's latest patents include "Training individually fair machine learning algorithms via distributionally robust optimization." This invention outlines a method for constructing a sensitive subspace of a data set that defines a fair metric for distance among its elements. The process involves training a machine learning model on the first data set using a distributionally robust optimization approach based on the fair metric. The outcome is an individually fair set of labels that can be applied to a second data set for resource allocation.
Another notable patent is "Learning Mahalanobis distance metrics from data." This invention provides techniques for learning Mahalanobis distance similarity metrics for individually fair machine learning models. The method includes obtaining data with similarity annotations and selecting a model to learn a Mahalanobis covariance matrix. The learned covariance matrix fully defines the fair Mahalanobis distance similarity metric.
Career Highlights
Yuekai Sun has worked with esteemed organizations such as the University of Michigan and IBM. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Some of his notable coworkers include Sohini Upadhyay and Mikhail Yurochkin. Their collaborative efforts have further advanced the research in fair machine learning algorithms.
Conclusion
Yuekai Sun's innovative work in machine learning and his commitment to fairness in algorithms make him a significant figure in the field. His patents reflect a deep understanding of complex data interactions and the importance of equitable solutions in technology.