Search for tag: "triad distinguished lecture series"

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Yuxin Chen - Inference and Uncertainty… duration 51 minutes 22 seconds Yuxin Chen - Inference and Uncertainty… Yuxin Chen - Inference and Uncertainty Quantification for Noise Matrix Completion	Yuxin Chen - Inference and Uncertainty Quantification for Noise Matrix Completion Noisy matrix completion aims at estimating a… triad distinguished lecture series +3 More From Katie Gentilello September 17th, 2019 51 plays 0 name Yuxin Chen Date September 5th, 2019
Yuxin Chen - Random initialization and implicit… duration 48 minutes 3 seconds Yuxin Chen - Random initialization and implicit… Yuxin Chen - Random initialization and implicit regularization in nonconvex statistical estimation	Yuxin Chen - Random initialization and implicit regularization in nonconvex statistical estimation Recent years have seen a flurry of activities in… triad distinguished lecture series +3 More From Katie Gentilello September 17th, 2019 27 plays 0 name Yuxin Chen Date August 29th, 2019
Yuxin Chen - Spectral Methods Meets Asymmetry:… duration 48 minutes 57 seconds Yuxin Chen - Spectral Methods Meets Asymmetry:… Yuxin Chen - Spectral Methods Meets Asymmetry: Two Recent Stories	Yuxin Chen - Spectral Methods Meets Asymmetry: Two Recent Stories This talk is concerned with the interplay between… triad distinguished lecture series +3 More From Katie Gentilello September 9th, 2019 20 plays 0 name Yuxin Chen Date September 4th, 2019
Yuxin Chen - Projected Power Method: An Efficient… duration 46 minutes 14 seconds Yuxin Chen - Projected Power Method: An Efficient… Yuxin Chen - Projected Power Method: An Efficient Algorithm for Joint Discrete Assignment	Yuxin Chen - Projected Power Method: An Efficient Algorithm for Joint Discrete Assignment Various applications involve assigning discrete… triad distinguished lecture series +3 More From Katie Gentilello September 9th, 2019 27 plays 0 name Yuxin Chen Date September 3rd, 2019
Yuxin Chen - [Lecture 1] The power of nonconvex… duration 56 minutes 28 seconds Yuxin Chen - [Lecture 1] The power of nonconvex… Yuxin Chen - [Lecture 1] The power of nonconvex optimization in solving random quadratic systems of equations	Yuxin Chen - [Lecture 1] The power of nonconvex optimization in solving random quadratic systems of equations We consider the fundamental problem of solving… triad distinguished lecture series +3 More From Katie Gentilello September 3rd, 2019 63 plays 0 name Yuxin Chen Date August 28th, 2019
Polo Chau - Visual Data Analytics: A Short… duration 1 hour 3 minutes Polo Chau - Visual Data Analytics: A Short… Polo Chau - Visual Data Analytics: A Short Tutorial	Polo Chau - Visual Data Analytics: A Short Tutorial triad distinguished lecture series +4 More From Katie Gentilello August 27th, 2019 37 plays 0 name Duen Horng (Polo) Chau Date August 8th, 2019
Johannes Schmidt-Hieber - Mathematics for Deep… duration 1 hour 2 minutes Johannes Schmidt-Hieber - Mathematics for Deep… Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Energy landscape and open problems (Lecture 5/5)	Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Energy landscape and open problems (Lecture 5/5) To derive a theory for gradient descent methods,… triad distinguished lecture series +3 More From Katie Gentilello March 28th, 2019 90 plays 0 name Johannes Schmidt-Hieber Date March 18th, 2019
Johannes Schmidt-Hieber - Mathematics for Deep… duration 58 minutes 39 seconds Johannes Schmidt-Hieber - Mathematics for Deep… Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Statistical theory for deep ReLU networks (Lecture 4/5)	Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Statistical theory for deep ReLU networks (Lecture 4/5) We outline the theory underlying the recent… triad distinguished lecture series +3 More From Katie Gentilello March 28th, 2019 88 plays 0 name Johannes Schmidt-Hieber Date March 15th, 2019
Johannes Schmidt-Hieber - Mathematics for Deep… duration 1 hour 1 minute Johannes Schmidt-Hieber - Mathematics for Deep… Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Advantages of Additional Layers (Lecture 3/5)	Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Advantages of Additional Layers (Lecture 3/5) Why are deep networks better than shallow… triad distinguished lecture series +3 More From Katie Gentilello March 18th, 2019 94 plays 0 name Johannes Schmidt-Hieber Date March 13th, 2019
Johannes Schmidt-Hieber - Mathematics for Deep… duration 58 minutes 56 seconds Johannes Schmidt-Hieber - Mathematics for Deep… Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks : Theory for shallow networks (Lecture 2/5)	Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks : Theory for shallow networks (Lecture 2/5) We start with the universal approximation theorem… triad distinguished lecture series +3 More From Katie Gentilello March 13th, 2019 156 plays 0 name Johannes Schmidt-Hieber Date March 8th, 2019
Johannes Schmidt-Hieber - Mathematics for Deep… duration 1 hour 0 minutes Johannes Schmidt-Hieber - Mathematics for Deep… Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks (Lecture 1/5)	Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks (Lecture 1/5) Lecture 1) Survey on neural network structures… triad distinguished lecture series +3 More From Katie Gentilello March 8th, 2019 276 plays 0 name Johannes Schmidt-Hieber Date March 6th, 2019
Michael Mitzenmacher - Bloom Filters, Cuckoo… duration 57 minutes 53 seconds Michael Mitzenmacher - Bloom Filters, Cuckoo… Michael Mitzenmacher - Bloom Filters, Cuckoo Hashing, Cuckoo Filters, Adaptive Cuckoo Filters, and Learned Bloom Filters	Michael Mitzenmacher - Bloom Filters, Cuckoo Hashing, Cuckoo Filters, Adaptive Cuckoo Filters, and Learned Bloom Filters I will go over some of my past and present work… algorithms and randomness center +4 More From Katie Gentilello December 3rd, 2018 346 plays 0 name Michael Mitzenmacher Date November 26th, 2018
Gabor Lugosi - Mean Estimation: Median-of-Means… duration 51 minutes 2 seconds Gabor Lugosi - Mean Estimation: Median-of-Means… Gabor Lugosi - Mean Estimation: Median-of-Means Tournaments	Gabor Lugosi - Mean Estimation: Median-of-Means Tournaments In these lectures we discuss some statistical… triad distinguished lecture series +3 More From Katie Gentilello November 14th, 2018 32 plays 0 name Gabor Lugosi Date October 25th, 2018
Gabor Lugosi - Combinatorial Testing Problems duration 52 minutes 16 seconds Gabor Lugosi - Combinatorial Testing Problems Gabor Lugosi - Combinatorial Testing Problems	Gabor Lugosi - Combinatorial Testing Problems In these lectures we discuss some statistical… georgia tech +5 More From Katie Gentilello November 7th, 2018 32 plays 0 name Gabor Lugosi Date October 18th, 2018
Sara van de Geer - The Debiased Lasso duration 57 minutes 57 seconds Sara van de Geer - The Debiased Lasso Sara van de Geer - The Debiased Lasso	Sara van de Geer - The Debiased Lasso In the third lecture we use sparsity to establish… triad distinguished lecture series +3 More From Katie Gentilello September 11th, 2018 259 plays 0 name Sara van de Geer biography Sara van de Geer has been Full Professor at the Seminar for Statistics at ETH Zurich since September 2005. Her main field of research is mathematical statistics, with special interest in high-dimensional problems. Date September 6th, 2018
Sara van de Geer - Compatibility and the Lasso duration 57 minutes 1 second Sara van de Geer - Compatibility and the Lasso Sara van de Geer - Compatibility and the Lasso	Sara van de Geer - Compatibility and the Lasso We will see in the first lecture that one needs… triad distinguished lecture series +3 More From Katie Gentilello September 10th, 2018 152 plays 0 name Sara van de Geer biography Sara van de Geer has been Full Professor at the Seminar for Statistics at ETH Zurich since September 2005. Her main field of research is mathematical statistics, with special interest in high-dimensional problems. Date September 4th, 2018