Company Filing History:
Years Active: 2024-2025
Title: Scott Kramer: Innovator in Machine Learning
Introduction
Scott Kramer is an accomplished inventor based in New York City, NY (US). He has made significant contributions to the field of machine learning, particularly in predicting causal treatment effects of actions performed on websites and applications. With a total of 2 patents, his work is at the forefront of technological innovation.
Latest Patents
Kramer's latest patent focuses on a machine learning system designed to predict causal treatment effects. This system computes a causal uplift in performance for output actions based on various treatment actions performed in parallel. The process begins with a server computer receiving interaction data over a specific period, identifying multiple users and the actions they performed through a graphical user interface. The server then generates a feature matrix of actions for each user, incorporating confounding variables to minimize spurious correlations. This feature matrix is utilized to train the machine learning system, which uses data on user performance as inputs and target output actions as outputs. The treatment effect for a specific action is computed by generating simulated treatment and control matrices, allowing for a comparison of average outputs to determine the impact of the treatment action.
Career Highlights
Scott Kramer is currently employed at Amplitude, a company known for its innovative analytics solutions. His work at Amplitude has allowed him to apply his expertise in machine learning to real-world applications, enhancing user experience and performance metrics.
Collaborations
Kramer collaborates with talented individuals such as Cynthia Rogers and Eric Pollmann, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Scott Kramer is a notable inventor whose work in machine learning is shaping the future of technology. His patents and contributions to Amplitude highlight his commitment to advancing the field and improving user interactions across digital platforms.