| Date | # | Topic | Presenter |
| Tu 09/04/07 | Course Overview | Arindam Banerjee |
|
| Th 09/06/07 | Mixture Models, EM | Arindam Banerjee | |
| Tu 09/11/07 | Mixture Models, Exponential Family Distributions, EM (Contd) | Arindam Banerjee | |
| Th 09/13/07 | 1. | Clustering with Bregman Divergences. A. Banerjee, S. Merugu, I. Dhillon and J. Ghosh. |
Nisheeth Srivastava |
| Tu 09/18/07 | 2. | Unsupervised Learning from Dyadic Data. T. Hofmann, and J. Puzicha. |
Ajay Joshi |
| Th 09/20/07 | 3. | Latent Dirichlet Allocation. D. Blei, A. Ng, and M. Jordan. |
Hanhuai Shan |
| Tu 09/25/07 | MCMC, Gibbs Sampling | Arindam Banerjee | |
| Th 09/27/07 | MCMC, Gibbs Sampling (both lectures) | Arindam Banerjee | |
| Tu 10/02/07 | Dirichlet Processes | Arindam Banerjee | |
| Th 10/04/07 | Dirichlet Processes (both lectures) | Arindam Banerjee | |
| Tu 10/09/07 | 4. | Markov chain sampling methods for Dirichlet process mixture models. R. Neal |
Colin DeLong |
| Th 10/11/07 | 5. | Variational inference for Dirichlet process mixtures. D. M. Blei and M. I. Jordan |
Daniel Acuna |
| Tu 10/16/07 | Variational Inference | Arindam Banerjee | |
| Th 10/18/07 | Exact Inference, Factor Graphs, Sum-product (Kschischang's slides) | Arindam Banerjee | |
| Tu 10/23/07 | 6. | A Correlated Topic Model of Science. D. Blei and J. Lafferty |
Muhammad Ahmed |
| Th 10/25/07 | Expectation Propagation | Arindam Banerjee | |
| Tu 10/30/07 | Infinite Mixture Models, Indian Buffet Process | Arindam Banerjee | |
| Th 11/01/07 | 7. | Probabilistic Author-Topic Models for Information Discovery. M. Steyvers, P. Smyth, P. Rosen-Zvi, and T. Griffiths. Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. C. Chemudugunta, P. Smyth, and M. Styevers. |
Sophia Zhao |
| Fri 11/02/07 | 8. | Make-up Class 1 (EE/CS 3-115, 9:45-11am) Topic and Role Discovery in Social Networks. A. McCallum, A. Corrada-Emmanuel, and X. Wang. Group and Topic Discovery from Relations and Their Attributes. X. Wang, N. Mohanty, and A. McCallum. |
Steven Damer |
| Tu 11/06/07 | No Class | ||
| Th 11/08/07 | No Class | ||
| Tu 11/13/07 | 9. | Hierarchical Dirichlet Processes. Y. Teh, M. Jordan, M. Beal, and D. Blei. |
Qiang Fu |
| Th 11/15/07 | 10. |
Bayesian Haplotype Inference via the Dirichlet Process. E. P. Xing, M. Jordan, and R. Roded. |
Amrudin Agovic |
| Fri 11/16/07 | Make-up Class 2 (EE/CS 3-115, 9:45-11am) Gaussian Processes |
Arindam Banerjee | |
| Tu 11/20/07 | 11. |
Bayesian Infinite Mixture Model based clustering of gene expression profile. M. Medvedovic and S. Sivaganesan. Bayesian mixture model based clustering of replicated microarray data. M. Medvedovic, K. Yeung, and R. Bumgarner. |
Arindam Banerjee |
| Th 11/22/07 | University Holiday | ||
| Tu 11/27/07 | 12. |
Hidden Markov Dirichlet Process: Modeling Genetic Inference in Open Ancestral Space. E. P. Xing and K. Sohn. A Nonparametric Bayesian Approach for Haplotype Reconstruction from Single and Multi-Population Data. E. P. Xing and K. Sohn. |
Arindam Banerjee |
| Th 11/29/07 | 13. |
Pachinko Allocation: DAG-Structure Mixture Models of Topic Correlation. W. Li and A. McCallum. Mixtures of Hierarchical Topics with Pachinko Allocations. D. Mimno, W. Li, and A. McCallum. |
Evan Ribnick |
| Tu 12/04/07 | Project Presentations | Shan; Srivastava; Fu; Ribnick | |
| Th 12/06/07 | Project Presentations | Damer; Agovic; Joshi; Delong | |
| Tu 12/11/07 | Project Presentations | Acuna; Ahmad,Zhao |