TRIAD Video Presentations TRIAD Distinguished Lecture SeriesYuxin Chen | Princeton University Lecture 1 (of 5): The power of nonconvex optimization in solving random quadratic systems of equations August 28, 2019 Lecture 2 (of 5): Random initialization and implicit regularization in nonconvex statistical estimation August 29, 2019 Lecture 3 (of 5): Projected Power Method: An Efficient Algorithm for Joint Discrete Assignment September 3, 2019 Lecture 4 (of 5): Spectral Methods Meets Asymmetry: Two Recent Stories September 4, 2019 Lecture 5 (of 5): Inference and Uncertainty Quantification for Noise Matrix Completion September 5, 2019 TRIAD Distinguished Lecture SeriesJohannes Schmidt-Hieber | University of Twente Lecture 1 (of 5): Mathematics for Deep Neural Networks: Introduction March 6, 2019 Lecture 2 (of 5): Theory for Shallow Networks March 8, 2019 Lecture 3 (of 5): Advantages of Additional Layers March 13, 2019 Lecture 4 (of 5): Statistical Theory for Deep ReLU Networks March 15, 2019 Lecture 5 (of 5): Energy Landscape and Open Problems March 18, 2019 TRIAD Distinguished Lecture SeriesGabor Lugosi | Pompeu Fabra University Lecture 1 (of 2): Combinatorial Testing Problems October 15, 2018 Lecture 2 (of 2): Median of Means Tournaments October 25, 2018 TRIAD Distinguished Lecture SeriesSara van de Geer | ETH Zurich Lecture 1 (of 3): Sharp Oracle Inequalities for Non-Convex Loss August 31, 2018 Lecture 2 (of 3): Compatibility and the Lasso September 4, 2018 Lecture 3 (of 3): The Debiased Lasso September 6, 2018 Foundation of Data Science (FDS) Summer School 2019 Visual Data Analytics: A Short Tutorial Polo Chau | Georgia Institute of Technology | August 8, 2019
