Course Information

CS-7545 Machine Learning Theory, Fall 2016

Tue-Thu 9:35am – 10:55am, CoC 102.

Topics (pre-reqs: graduate algorithms; familiarity with linear algebra, probability):

  • Unsupervised Learning
  • Supervised Learning
  • Online Learning
  • Statistical Query Learning
  • Contemporary models

Instructor: Santosh Vempala

Office Hours: Tue 11am – 12pm in Klaus 2222 or by appointment.

TA: Samira Samadi.  Office hours: Wed 12-2pm in Klaus common area between 2116 and 2124 .

Grading: 2 midterms: 50%, 4 HWs: 50%.

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