Difference between revisions of "Syllabus for Structured Prediction 10-710 in Fall 2011"
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* Thus 10/6. [[Class Meeting for 10-710 10-06-2011|Inference with ILP and other methods]] (Noah). | * Thus 10/6. [[Class Meeting for 10-710 10-06-2011|Inference with ILP and other methods]] (Noah). | ||
* Thus 10/6. '''Complete your project proposal''' by explaining what your "big idea" will be. | * Thus 10/6. '''Complete your project proposal''' by explaining what your "big idea" will be. | ||
| − | * Tues 10/11. [[Class Meeting for 10-710 10-11-2011|Natural language parsing with CFGs] (Noah). | + | * Tues 10/11. [[Class Meeting for 10-710 10-11-2011|Natural language parsing with CFGs]] (Noah). |
| − | * Thus 10/13. [[Class Meeting for 10-710 10-13-2011|Dependency parsing]. (Noah). | + | * Thus 10/13. [[Class Meeting for 10-710 10-13-2011|Dependency parsing]]. (Noah). |
* Tues 10/18. [[Class Meeting for 10-710 10-18-2011|Kernels for structured inputs]]. (William). | * Tues 10/18. [[Class Meeting for 10-710 10-18-2011|Kernels for structured inputs]]. (William). | ||
* Thus 10/20. Kernels for structured outputs. (Noah). | * Thus 10/20. Kernels for structured outputs. (Noah). | ||
Revision as of 11:39, 9 October 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 The slides available may be out of date (from the last version of the class) but will be updated after each lecture.
Contents
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).
- Mon 9/12. Add a short project proposal to the wiki (even one sentence might be enough).
- Tues 9/13. Pseudo-likelihood inference. (William).
- Thus 9/15. Understanding "conditional" models. (Noah).
- Mon 9/19. Join or recruit a 2-3 person project team and add that information to your project proposal.
- Tues 9/20. Perceptrons and margin-based learning. (William).
- Thus 9/22. Ranking perceptrons and margin-based learning. (William).
- Mon 9/26. Identify the baseline method(s) and dataset you will use in your project.
- Tues 9/27. Stacking, Searn, and related "meta-learning" techniques. (William).
- Thus 9/29. Generalizing SVM to structures. (Noah; note: this is Rosh Hashanah)
- Fri 9/30. First set of four wiki assignments due. Brendan has posted some detailed guidelines. Some more information on this was given in beginning of the lecture on Sept 1.
October
- Tues 10/4. Making structured predictions with dynamic programming (Noah).
- Thus 10/6. Inference with ILP and other methods (Noah).
- Thus 10/6. Complete your project proposal by explaining what your "big idea" will be.
- Tues 10/11. Natural language parsing with CFGs (Noah).
- Thus 10/13. 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. TBD, guest lecture (was: 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.
