Randomized Numerical Linear Algebra: Overview

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=xlFRURt0nss


Duration: 31:58
3,688 views
43

Petros Drineas (Purdue University)
https://simons.berkeley.edu/talks/tbd-24
Randomized Numerical Linear Algebra and Applications



Other Videos By Simons Institute for the Theory of Computing


2018-09-25Randomized Algorithms for Computing Full Matrix Factorizations
2018-09-25Convergence Theory for Iterative Eigensolvers
2018-09-25Randomized Riemannian Preconditioning for Quadratically Constrained Problems
2018-09-25Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching
2018-09-24Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks
2018-09-24How Randomized Analysis Can Help Us Do “Data Science:” Examples in Deep Learning and Graph Analysis
2018-09-24Reconstructing Continuous Signals via Leverage Score Sampling
2018-09-24Asympirical Analysis: Theory Informs Practice
2018-09-24Recent Advances in Positive Semidefinite Matrix Approximation
2018-09-24Advanced Techniques for Low-Rank Matrix Approximation
2018-09-24Randomized Numerical Linear Algebra: Overview
2018-09-24Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties
2018-09-14A Short List of Equalities Has Large Sign Rank
2018-09-14The Coin Problem and AC^0[parity]
2018-09-14Does Looking Inside a Circuit Help?
2018-09-14The Complexity of Distributions
2018-09-14Distribution-Free Junta Testing
2018-09-14The Pathset Approach to Formula Lower Bounds
2018-09-13Boolean Matrix Multiplication Lower Bounds
2018-09-13New Lower Bounds Through an Improved Easy Witness Lemma
2018-09-13Recent Structure Lemmas for Depth-two Threshold Circuits


Tags:
Randomized Numerical Linear Algebra and Applications
Petros Drineas
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley