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Let's Collaborate
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Wu Lin is a postdoctoral fellow at the Vector Institute. He did his Ph.D at the University of British Columbia, studying geometric methods for numerical optimization and probabilistic inference with Mark Schmidt and Emtiyaz Khan. Wu’s research blends computer science, statistics, mathematics and physics. He develops computational perspectives and numerical schemes on geometric and algebraic ideas in machine learning.
Research Interests
Optimization and Inference
Numerical Methods for Mathematical Structures in Machine Learning
Probabilistic Models and Generative Models
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