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  1. Mathematical Theories of Machine Learning

    https://www.math.cuhk.edu.hk/course/mmat5391
    ... foundations of and optimization techniques used in machine learning. Both theoretical and numerical approaches for tackling mathematical problems arising from machine learning will be introduced. Learning will be enhanced through software ...
  2. Research Graduate Students

    https://www.math.cuhk.edu.hk/people/research-graduate-students
    ... Research Interests: Machine and deep learning, medical images and videos, motion separation, reconstruction of MRI ... Research Interests: Deep learning, machine learning, uncertainty quantification ...
  3. Machine Learning and Computational Mathematics

    https://www.math.cuhk.edu.hk/seminars/machine-learning-and-computational-mathematics-0
    ... University Abstract:  The heart of machine learning is the approximation of functions using finite pieces of data. This ... Thus it is not surprising that the success of machine learning in dealing with functions in very high dimensions has opened up some ...
  4. Discretization-Invariant Operator Learning: Algorithms and Theory

    https://www.math.cuhk.edu.hk/seminars/discretization-invariant-operator-learning-algorithms-and-theory
    ... University of Maryland Abstract:  Learning operators between infinitely dimensional spaces is an important learning task arising in wide applications in machine learning, data science, ...
  5. Mathematical Theory of Deep Learning

    https://www.math.cuhk.edu.hk/seminars/mathematical-theory-deep-learning
    ... University of Hong Kong Abstract:  Deep learning has been widely applied and brought breakthroughs in speech ... and computational issues have been well studied in machine learning. But there lacks a theoretical foundation for understanding the ...