Rina Siller Friedberg

Title: Rina Siller Friedberg: Innovator in Machine Learning Bias Correction

Introduction

Rina Siller Friedberg is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of machine learning, particularly in the area of bias correction for predictive and ranking systems. Her innovative work aims to enhance the accuracy and fairness of machine learning models.

Latest Patents

Rina holds a patent titled "Position-bias correction for predictive and ranking systems." This patent presents methods, systems, and computer programs designed to eliminate bias while training a machine learning model using training data that includes past experimental data. One of the key methods involves accessing experiment results from A/B testing of a first model, which includes information regarding user engagement with a first set of items presented in an ordered list. The patent outlines a process for calculating position bias for the items and training a second model to rank a new set of items based on relevance scores.

Career Highlights

Rina is currently associated with Microsoft Technology Licensing, LLC, where she continues to develop innovative solutions in machine learning. Her work is instrumental in advancing the capabilities of predictive systems and ensuring that they operate without inherent biases.

Collaborations

Rina has collaborated with notable colleagues, including Jialiang Mao and Karthik Rajkumar. These partnerships have contributed to her success and the development of her groundbreaking patent.

Conclusion

Rina Siller Friedberg is a trailblazer in the field of machine learning, with her patent addressing critical issues of bias in predictive systems. Her contributions are paving the way for more equitable and effective machine learning applications.