Machine Learning & AI | NYC

Machine Learning & AI | NYC





Research of the Machine Learning group at the Microsoft Research New York City lab spans a wide variety of topics within theoretical and applied machine learning, including learning from interactive data (e.g., contextual bandits and reinforcement learning), online learning, natural language processing, Bayesian latent variable modeling, and topics related to interpretability and fairness of ML and AI.


Blogs & more

Machine Learning and Fairness Webinar

Webinar promo - photo of Jenn Wortman Vaughan and Hanna WallachIn this webinar led by Microsoft researchers Jenn Wortman Vaughan and Hanna Wallach, 15-year veterans of the machine learning field, you’ll learn how to make detecting and mitigating biases a first-order priority in your development and deployment of ML systems…

Microsoft Research Webinar Series | April 2019

Machine Learning for fair decisions

Fair classificationOver the past decade, machine learning systems have begun to play a key role in many high-stakes decisions: Who is interviewed for a job? Who is approved for a bank loan? Who receives parole? Who is admitted to a school?..

Microsoft Research Blog | July 2018