Difference between revisions of "Syllabus for Structured Prediction 10-710 in Fall 2011"
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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 The slides available may be out of date (from the last version of the class) but will be updated after each lecture. | 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 The slides available may be out of date (from the last version of the class) but will be updated after each lecture.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 == | + | == August/September == |
| + | |||
| − | |||
| − | |||
== September == | == September == | ||
| − | * Tues 9/6 | + | * Tues 8/30. Intro (Noah) |
| − | * Thus 9/8 | + | * Thus 9/1. HMMs as structured-output prediction models. (William) |
| − | * Tues 9/13 | + | * Tues 9/6. HMMs to MEMMs. (Noah) |
| − | * Thus 9/15 | + | * Thus 9/8. CRFs. (William). |
| − | * Tues 9/20 | + | * Tues 9/13. Pseudo-likelihood inference. (William). |
| − | * Thus 9/22 | + | * Thus 9/15. Conditional structure vs conditional estimation. (Noah). |
| − | * Tues 9/27 | + | * Tues 9/20. Perceptrons and margin-based learning. (William). |
| − | * Thus 9/29 (Rosh Hashanah) | + | * Thus 9/22. Ranking perceptrons and margin-based learning. (William). |
| + | * Tues 9/27. Generalizing SVM to structures. (Noah) | ||
| + | * Thus 9/29. Dynamic programming techniques. (Noah; note this is Rosh Hashanah) | ||
== October == | == October == | ||
| − | * Tues 10/4 | + | * Tues 10/4. Stacking, Searn, and related "meta-learning" techniques. (William). |
| − | * Thus 10/6 | + | * Thus 10/6. Test-time optimization with ILP and other methods (Noah). |
| − | * Tues 10/11 | + | * Tues 10/11. PCFGs and parsing (Noah). |
| − | * Thus 10/13 | + | * Thus 10/13. Spanning trees and dependency parsing. (Noah). |
| − | * Tues 10/18 | + | * Tues 10/18. Kernels for structured inputs. (William). |
| − | * Thus 10/20 | + | * Thus 10/20. Kernels for structured outputs. (Noah). |
| − | * Tues 10/25 | + | * Tues 10/25. '''Mid-term project reports''' - short presentations of task, dataset, and baseline. |
| − | * Thus 10/27 | + | * Thus 10/27. Learning edit distances. (William). |
== November == | == November == | ||
| − | * Tues 11/1 | + | * Tues 11/1. Weighted FSTs. (Noah). |
| − | * Thus 11/3 | + | * Thus 11/3. Non-monotonic alignment for MT.(Noah). |
| − | * Tues 11/8 | + | * Tues 11/8. EM for sequences. (William). |
| − | * Thus 11/10 | + | * Thus 11/10. EM for trees. (Noah). |
| − | * Tues 11/15 | + | * Tues 11/15. Discriminative latent-variable models. (Noah). |
| − | * Thus 11/17 | + | * Thus 11/17. Regularizers derived from unannotated data. (William). |
| − | * Tues 11/22 | + | * Tues 11/22. Posterior regularization and other EM variants. (Noah). |
* Thus 11/24 -- ''Thanksgiving, no class'' | * Thus 11/24 -- ''Thanksgiving, no class'' | ||
| − | * Tues 11/29 | + | * Tues 11/29. Classification on graphs (William). |
== December == | == December == | ||
| − | * Thus 12/1 | + | * Thus 12/1. Bayesian grammars (Noah). |
| − | * Tues 12/6 | + | * Tues 12/6. Project presentations 1 |
| − | * Thus 12/8 | + | * Thus 12/8. Project presentations 2. |
| + | * Mon 12/12. '''Final projects due.''' | ||
Revision as of 11:13, 19 July 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
September
- Tues 8/30. Intro (Noah)
- Thus 9/1. HMMs as structured-output prediction models. (William)
- Tues 9/6. HMMs to MEMMs. (Noah)
- Thus 9/8. CRFs. (William).
- Tues 9/13. Pseudo-likelihood inference. (William).
- Thus 9/15. Conditional structure vs 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. Generalizing SVM to structures. (Noah)
- Thus 9/29. Dynamic programming techniques. (Noah; note this is Rosh Hashanah)
October
- Tues 10/4. Stacking, Searn, and related "meta-learning" techniques. (William).
- Thus 10/6. Test-time optimization 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 MT.(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. Regularizers derived from unannotated data. (William).
- Tues 11/22. Posterior regularization and other EM variants. (Noah).
- Thus 11/24 -- Thanksgiving, no class
- Tues 11/29. Classification on graphs (William).
December
- Thus 12/1. Bayesian grammars (Noah).
- Tues 12/6. Project presentations 1
- Thus 12/8. Project presentations 2.
- Mon 12/12. Final projects due.
