Schedule

Unsupervised Learning

  • Aug 25 Statistical Estimation. Notes.
  • Aug 30, Sep 1. Mixture models, PCA, Random Projection. Chapters 1, 2 of this; also Chap 3 of this book.
  • Sep 6, 8. Independent Component Analysis, topic models, tensor factorization. Chap 3
  • Sep 13. Compressed sensing/sparse recovery. NotesPaper. ;
  • sep 15. Dictionary learning. NotesPaper.
  • Sep 20, 22, 27. Clustering: k-means, spectral, hierarchical. Chap 5.
  • Sep 29. Midterm 1.

Supervised Learning

  • Nov 22. Statistical algorithms: noise tolerance, lower bounds for parity

Online Learning

  • Experts/multi-armed bandits
  • Weighted majority
  • Follow the perturbed leader
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