Professor Zoltán Szabó

简介

Zoltan Szabo is a Professor of Data Science at the Department of Statistics, LSE. Zoltan's research interest is statistical machine learning with focus on kernel methods, information theory (ITE), scalable computation, and their applications. These applications include safety-critical learning, style transfer, shape-constrained prediction, hypothesis testing, distribution regression, dictionary learning, structured sparsity, independent subspace analysis and its extensions, Bayesian inference, finance, economics, analysis of climate data, criminal data analysis, collaborative filtering, emotion recognition, face tracking, remote sensing, natural language processing, and gene analysis.