DataLabAlgorithms
DataLab applies state-of-the-art insights from academic research to answer policy and business questions
DataLabAlgorithms specializes in the foundations of statistics and machine learning focusing on the development, analysis and testing of methodologies and algorithms for data analysis. Our expertise is on nonparametric Bayes and empirical Bayes methods for statistical learning, possibly under complex constraints arising from data privacy and fairness, adversarial robustness, data streaming, small summaries of big data, and environmental-socio-economic sustainability. Applications range across a variety of domain, including biological and physical sciences, socio-economic sciences, computer science, bioinformatics, digital markets, online advertising, webpage development and forensic statistics.
Projects
NBEB-SSP – Nonparametric Bayes and empirical Bayes for species sampling problems: classical questions, new directions and related issues
NBEB-SSP Nonparametric Bayes and empirical Bayes for species sampling problems: classical questions, new directions and related issues…