Difference between revisions of "Syllabus for Structured Prediction 10-710 in Fall 2011"
From Cohen Courses
Jump to navigationJump to search| Line 15: | Line 15: | ||
* Mon 9/26. '''Identify the baseline method(s) and dataset you will use in your project.''' | * Mon 9/26. '''Identify the baseline method(s) and dataset you will use in your project.''' | ||
* Tues 9/27. [[Class Meeting for 10-710 09-27-2011|Stacking, Searn, and related "meta-learning" techniques]]. (William). | * Tues 9/27. [[Class Meeting for 10-710 09-27-2011|Stacking, Searn, and related "meta-learning" techniques]]. (William). | ||
| − | * Thus 9/29. Generalizing SVM to structures. (Noah; note this is Rosh Hashanah) | + | * Thus 9/29. [[Class Meeting for 10-710 09-29-2011|Generalizing SVM to structures]]. (Noah; note: this is Rosh Hashanah) |
* Fri 9/30. '''First set of four wiki assignments due.''' Brendan has posted some [[Wiki_writeup_assignments_for_10-710_in_Fall_2011|detailed guidelines.]] Some more information on this was given in beginning of the [http://www.cs.cmu.edu/~wcohen/10-710/09-01-hmms.ppt lecture on Sept 1]. | * Fri 9/30. '''First set of four wiki assignments due.''' Brendan has posted some [[Wiki_writeup_assignments_for_10-710_in_Fall_2011|detailed guidelines.]] Some more information on this was given in beginning of the [http://www.cs.cmu.edu/~wcohen/10-710/09-01-hmms.ppt lecture on Sept 1]. | ||
Revision as of 15:58, 22 September 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 The slides available may be out of date (from the last version of the class) but will be updated after each lecture.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
- Thus 10/4. Dynamic programming techniques (Noah).
- Tues 10/6. Inference with ILP and other methods (Noah).
- Tues 10/6. Complete your project proposal by explaining what your "big idea" will be.
- 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. 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.
