Spectral Algorithms (Fall 2007)
Tentative schedule
Tue, Aug 21: Intro/overview.
Thu, Aug 23: SVD basics, a geometric characterization.
Aug 28, 30, Sep 4. App 1: Mixture Models
Sep 6. Algo 1: Matrix multiplication
Sep 11. Algo 2: Linear-time low-rank approximation
Sep 13. Algo 3: Constant-time low-rank approximation
Sep 18. Algo 4: The CUR decomposition. HW1 to be turned in
Sep 20. App 2: Adaptive Sampling
Sep 25: Algo 5: Volume sampling
Sep 27: Algo 6: Projective Clustering. Projects finalized.
Oct 2: App 3: Isotropic Random Projection
Oct 11,16 App 4: Spectral Partitioning
Oct 18. Midterm, HW2 turned in.Oct 23, 25. App 5: Spectral Clustering.
Oct 30. App 6: Nullspace Embeddings
Nov 1. App 7: Planar graph partitioning.
Nov 6, 8: Algorithmic Convex Geometry workshop.
Nov 13,15. App 8: Planted cliques and partitions.
Nov 20. Algo 7, App 9: Tensor Decomposition. HW3 turned in.
Nov 22. Thanksgiving
Nov 27. App 10: The regularity partition
Nov 29, Dec 4. Project reviews
Dec 6. Future directions