Machine Learning NYC

Machine Learning NYC

Publications

Overview

Research of the Machine Learning group at MSR-NYC 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. Scroll below to view our group members. Click the tab above to view our publications.

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