Research Projects

Deep Learning Theory

The goal is to establish mathematical theory for deep learning, in order to explain its practical success.


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Robust and Adaptive Algorithms

The goal is to develop machine learning models for causal inference and methods that are robust under various scenarios such as noises, adversarial attack and out of distribution data.

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Optimization Algorithms

The goal is to develop convex and nonconvex optimization algorithms, large scaled and distributed training algorithms, automatic tuning of machine learning models and efficient deployment.

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Tools and Applications

The goal is to develop tools and apply learning algorithms to various applications such as natural language processing, computer vision, and games, etc.


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