42:03[RMT + NLA] Alan Edelman: Symmetric Spaces, Random Matrix Theory, and Matrix Factorizations
A 42-minute video from Tom Trogdon: “[RMT + NLA] Alan Edelman: Symmetric Spaces, Random Matrix Theory, and Matrix Factorizations”.
Tom Trogdon
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42:03
36:36[RMT + NLA] Anne Greenbaum: Crouzeix's Conjecture and Random Matrices
A 37-minute video from Tom Trogdon: “[RMT + NLA] Anne Greenbaum: Crouzeix's Conjecture and Random Matrices”.
40:30[RMT + NLA] Carolia Cartis: Sparse random embeddings and their applications to optimization
A 40-minute video from Tom Trogdon: “[RMT + NLA] Carolia Cartis: Sparse random embeddings and their applications to optimization”.
40:19[RMT + NLA] Courtney Paquette: Optimization Algorithms in the Large I
A 40-minute video from Tom Trogdon: “[RMT + NLA] Courtney Paquette: Optimization Algorithms in the Large I”.
36:42[RMT + NLA] Deanna Needell: Using matrix factorizations for interpretability
A 37-minute video from Tom Trogdon: “[RMT + NLA] Deanna Needell: Using matrix factorizations for interpretability”.
33:49[RMT + NLA] Dmitry Drusvyatskiy: Optimization beyond smoothness and convexity
A 34-minute video from Tom Trogdon: “[RMT + NLA] Dmitry Drusvyatskiy: Optimization beyond smoothness and convexity”.
35:46[RMT + NLA] Elliot Paquette: Optimization Algorithms in the Large II
A 36-minute video from Tom Trogdon: “[RMT + NLA] Elliot Paquette: Optimization Algorithms in the Large II”.
39:10[RMT + NLA] Fang Han: On Azadkia-Chatterjee's correlation coefficients
A 39-minute video from Tom Trogdon: “[RMT + NLA] Fang Han: On Azadkia-Chatterjee's correlation coefficients”.
37:07[RMT + NLA] Govind Menon: Stochastic Nash evolution
A 37-minute video from Tom Trogdon: “[RMT + NLA] Govind Menon: Stochastic Nash evolution”.
2:35:22[RMT + NLA] Ioana Dumitriu: Randomize to Optimize (mini course)
A 155-minute video from Tom Trogdon: “[RMT + NLA] Ioana Dumitriu: Randomize to Optimize (mini course)”.
35:29[RMT + NLA] Jeffrey Pennington: Demystifying deep learning through high-dimensional statistics
Advanced
A 35-minute video from Tom Trogdon: “[RMT + NLA] Jeffrey Pennington: Demystifying deep learning through high-dimensional statistics”.
34:55[RMT + NLA] Jess Banks: A Globally Convergent Family of Shifting Strategies...
A 35-minute video from Tom Trogdon: “[RMT + NLA] Jess Banks: A Globally Convergent Family of Shifting Strategies...”.
43:56[RMT + NLA] Jun Yin: Delocalization of random band matrices in high dimensions
A 44-minute video from Tom Trogdon: “[RMT + NLA] Jun Yin: Delocalization of random band matrices in high dimensions”.
35:30[RMT + NLA] Ken McLaughlin: Interactions between solitons and with other nonlinear wave fields
A 36-minute video from Tom Trogdon: “[RMT + NLA] Ken McLaughlin: Interactions between solitons and with other nonlinear wave fields”.
39:51[RMT + NLA] Liza Rebrova: Randomized projection methods for corrupted data
A 40-minute video from Tom Trogdon: “[RMT + NLA] Liza Rebrova: Randomized projection methods for corrupted data”.
40:21[RMT + NLA] Michael Mahoney: Practice, Theory, and Theorems for Random Matrix Theory in Modern ML
Advanced
A 40-minute video from Tom Trogdon: “[RMT + NLA] Michael Mahoney: Practice, Theory, and Theorems for Random Matrix Theory in Modern ML”.
47:44[RMT + NLA] Nick Cook: The typical structure of sparse exponential random graphs
A 48-minute video from Tom Trogdon: “[RMT + NLA] Nick Cook: The typical structure of sparse exponential random graphs”.
41:43[RMT + NLA] Percy Deift: Universality in numerical computation with random data.
Advanced
A 42-minute video from Tom Trogdon: “[RMT + NLA] Percy Deift: Universality in numerical computation with random data.”.
40:52[RMT + NLA] Rachel Ward: Concentration for random matrix products, with applications
Advanced
A 41-minute video from Tom Trogdon: “[RMT + NLA] Rachel Ward: Concentration for random matrix products, with applications”.
32:55[RMT + NLA] Sheehan Olver: Equilibrium measures for power law kernels
A 33-minute video from Tom Trogdon: “[RMT + NLA] Sheehan Olver: Equilibrium measures for power law kernels”.
38:11[RMT + NLA] Xiucai Ding: A Riemann--Hilbert approach to the perturbation theory...
A 38-minute video from Tom Trogdon: “[RMT + NLA] Xiucai Ding: A Riemann--Hilbert approach to the perturbation theory...”.
38:51[RMT + NLA] Yuji Nakatsukasa: Fast & Accurate Randomized Algorithms...
A 39-minute video from Tom Trogdon: “[RMT + NLA] Yuji Nakatsukasa: Fast & Accurate Randomized Algorithms...”.
42:33[RMT + NLA] Zhou Fan: Empirical Bayes PCA in high dimension
A 43-minute video from Tom Trogdon: “[RMT + NLA] Zhou Fan: Empirical Bayes PCA in high dimension”.
39:26[RMT +NLA] Arno Kuijlaars: The spherical ensemble with external charges
Advanced
A 39-minute video from Tom Trogdon: “[RMT +NLA] Arno Kuijlaars: The spherical ensemble with external charges”.
38:15[RMT +NLA] Yin Tat Lee: From Robustness to Efficiency
A 38-minute video from Tom Trogdon: “[RMT +NLA] Yin Tat Lee: From Robustness to Efficiency”.