Yegor Klochkov

Title: Yegor Klochkov: Inventor in Fair and Accurate Classification

Introduction

Yegor Klochkov is an inventor based in London, United Kingdom. His patent work addresses a challenge in machine learning: balancing the accuracy of classification models with fairness toward people represented in the data.

Latest Patents

Klochkov is associated with 1 patent, titled “Balancing Classification Accuracy and Fairness of Classifier Models.” The disclosure describes techniques for measuring fairness at the instance level and adjusting a model’s predictions to meet a target fairness criterion while maintaining classification accuracy. It uses bias score functions for sensitive attributes and modification rules based on those functions and selected parameters.

Career Highlights

Klochkov has worked with Lemon Inc. and Beijing Youzhuju Network Technology Co., Ltd. His patent reflects work at the intersection of machine learning, classification, and fairness.

Collaborations

His listed coworkers include Yang Liu and Wenlong Chen.

Conclusion

Yegor Klochkov’s patent focuses on making classifier predictions fairer while preserving their accuracy, highlighting an important challenge in applied machine learning.