Transdisciplinary Research Institute for Advancing Data Science
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Item Lecture 5: Inference and Uncertainty Quantification for Noise Matrix Completion(2019-09-05) Chen, YuxinItem Lecture 4: Spectral Methods Meets Asymmetry: Two Recent Stories(2019-09-04) Chen, YuxinItem Lecture 3: Projected Power Method: An Efficient Algorithm for Joint Discrete Assignment(2019-09-03) Chen, YuxinItem Lecture 2: Random initialization and implicit regularization in nonconvex statistical estimation(2019-08-29) Chen, YuxinItem Lecture 1: The power of nonconvex optimization in solving random quadratic systems of equations(2019-08-28) Chen, YuxinItem Visual Data Analytics: A Short Tutorial(2019-08-08) Chau, Duen HorngItem Lecture 5: Mathematics for Deep Neural Networks: Energy landscape and open problems(2019-03-18) Schmidt-Hieber, JohannesItem Lecture 4: Mathematics for Deep Neural Networks: Statistical theory for deep ReLU networks(2019-03-15) Schmidt-Hieber, JohannesItem Lecture 3: Mathematics for Deep Neural Networks: Advantages of Additional Layers(2019-03-13) Schmidt-Hieber, JohannesItem Lecture 2: Mathematics for Deep Neural Networks: Theory for shallow networks(2019-03-08) Schmidt-Hieber, Johannes