Gergely Neu

UPF and Barcelona GSE. PhD. in Computer Science Budapest University of Technology and Economics

Research Assistant Professor at AI group, DTIC (Universitat Pompeu Fabra). Gergely is a professor and collaborator at Barcelona GSE

. He is machine learning researcher mainly interested in theoretical aspects of sequential decision making, mainly working on online optimization, bandit problems, and reinforcement learning theory. His general research mission is to bring theory and practice closer together by proving theoretical performance guarantees of practical algorithms and making principled learning algorithms more accessible to practitioners

Teaching in Barcelona GSE:

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Research interests

Online optimization
Bandit problems
Reinforcement Learning theory

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The academic excellence of the Barcelona GSE rests on the talent, enthusiasm, and drive derived from our faculty. A community of over 150 Barcelona GSE Affiliated Professors working on Economics, Finance, Data Science, and related areas is drawn from four top-flight academic units.

MsC Data Science, BGSE
MsC Data Science, BGSE
PhD, Johns Hopkins University
Ph.D., Statistics and Operational Research, Barcelona Tech (UPC)

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