Haim Avron let me kniow that "... most of the slides of the talks in the RandNLA workshop last Saturday are now posted on the workshop's website". Thanks Haim. And also thanks to Christos Boutsidis, and Petros Drineas and Abhisek Kundu for their work in setting up the meeting and the page. It definitely bring some visibility to the subject. Here are the presentations and the link to each researcher's page (for more):
- Petros Drineas Welcome and Introduction (slides)
- Michael Mahoney, Tutorial: Theory (and Some Practice) of Randomized Algorithms for Matrices and Data (slides, abstract)
- Nick Harvey , Matrix Concentration and Sparsification (slides, abstract)
- Nikhil Srivastava, Graph Sparsification (slides, abstract)
- Ilse Ipsen, Randomly Sampling from Orthonormal Matrices: Coherence and Leverage Scores (slides, abstract)
- Haim Avron, Randomized Preconditioning (slides, abstract)
- Ioannis Koutis, Solving Laplacian Linear Equations: Theory and Practice (slides, abstract)
- Anastasios Zouzias, Randomized Gossip Algorithms for Solving Laplacian Systems (slides, abstract)
- Christos Boutsidis, Near-Optimal Column-Based Matrix Reconstruction (slides, abstract)
- David Woodruff, Low Rank Approximation and Regression in Input Sparsity Time (slides, abstract)
- Ben Recht, An Incomplete Survey of Matrix Completion (slides, abstract)
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