Syllabus for Structured Prediction 10-710 in Fall 2011

This is the syllabus for Structured Prediction 10-710 in Fall 2011. The slides available may be out of date (from the last version of the class) but will be updated after each lecture.

August/September

• Tues 8/30. Introduction/Overview (Noah)
• Thus 9/1. HMMs as structured-output prediction models. (William)
• Tues 9/6. HMMs to MEMMs. (William)
• Thus 9/8. CRFs. (William).
• Tues 9/13. Pseudo-likelihood inference. (William).
• Thus 9/15. Conditional structure, conditional estimation. (Noah).
• Tues 9/20. Perceptrons and margin-based learning. (William).
• Thus 9/22. Ranking perceptrons and margin-based learning. (William).
• Tues 9/27. Stacking, Searn, and related "meta-learning" techniques. (William).
• Thus 9/29. Generalizing SVM to structures. (Noah; note this is Rosh Hashanah)

October

• Thus 10/4. Dynamic programming techniques (Noah).
• Tues 10/6. Inference with ILP and other methods (Noah).
• Tues 10/11. PCFGs and parsing (Noah).
• Thus 10/13. Spanning trees and dependency parsing. (Noah).
• Tues 10/18. Kernels for structured inputs. (William).
• Thus 10/20. Kernels for structured outputs. (Noah).
• Tues 10/25. Mid-term project reports - short presentations of task, dataset, and baseline.
• Thus 10/27. Learning edit distances. (William).

November

• Tues 11/1. Weighted FSTs. (Noah).
• Thus 11/3. Non-monotonic alignment for translation problems. (Noah).
• Tues 11/8. EM for sequences. (William).
• Thus 11/10. EM for trees. (Noah).
• Tues 11/15. Discriminative latent-variable models. (Noah).
• Thus 11/17. Posterior regularization and other EM variants. (Noah).
• Tues 11/22. Regularizers derived from unannotated data. (William).
• Thus 11/24 -- Thanksgiving, no class
• Tues 11/29. Classification on graphs (William).

December

• Thus 12/1. Bayesian approaches to structured models (Noah).
• Tues 12/6. Project presentations 1
• Thus 12/8. Project presentations 2.
• Mon 12/12. Final projects due.