Dr. Nathan Srebro

Professor

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Biography

Nathan Srebro is a Professor at the Toyota Technological Institute at Chicago. He is interested in the statistical computational aspects of machine learning and theoretical work in statistical learning theory. His research focuses on algorithms, novel learning models, and optimization techniques. He has worked on applications in computational biology, text analysis, and collaborative filtering. Before joining the Toyota Technological Institute at Chicago, he was a postdoctoral fellow at the University of Toronto and a visiting scientist at IBM Research. His work includes devising new algorithms and exploring probabilistic modeling within machine learning frameworks.

Research Interests

Machine Learning Statistical Learning Theory Probabilistic Modeling Optimization Computational Biology Text Analysis Collaborative Filtering

Requirements for University of Chicago

Doctorate Program
Requirements
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:104
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7
Prerequisites
Bachelor's degree Writing sample Candidate statement
Application Checklist
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Specialization Notes

Department of Philosophy