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Yaoliang Yu
Associate Professor
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Research Interests
Machine Learning, Including Generative Modelling, Representation Learning, Robustness, and Kernel Methods, as Well as Application to Computer Vision and Natural Language Processing
Optimization Algorithms, Including Convex and Non Convex Optimization, Distributed and Federated Learning, Iteration Complexity Bounds, Robust and Stochastic Optimization
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
Face and Expression Recognition
Academic Metrics
Links
Grants
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