Amanda Coston

Title: The Innovative Contributions of Amanda Coston

Introduction

Amanda Coston is a notable inventor based in Pittsburgh, PA. She has made significant strides in the field of machine learning, particularly in enhancing fairness in transfer learning. Her work addresses critical issues related to missing protected attributes in source or target domains.

Latest Patents

Amanda holds a patent titled "Enhancing fairness in transfer learning for machine learning models with missing protected attributes in source or target domains." This innovative method utilizes a computing device to correct source data used in machine learning. The process involves receiving first data and applying a covariate shift to the source data based on this first data, effectively re-weighting the source data to improve accuracy and fairness.

Career Highlights

Amanda is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.

Collaborations

Throughout her career, Amanda has collaborated with talented individuals such as Karthikeyan Natesan Ramamurthy and Dennis Wei. These collaborations have further enriched her work and expanded the impact of her innovations.

Conclusion

Amanda Coston's contributions to the field of machine learning exemplify the importance of fairness and accuracy in technology. Her innovative patent and work at IBM highlight her role as a leading inventor in this rapidly evolving field.