Completed Projects from 2013 Class

1. An Empirical Study of Approximation Inference Algorithms on Bayesian Logistic Regression, Abhimanu Kumar, Jinliang Wei, Wei Dai [report]

2. Copula Topic Model, William Wang, Miaomiao Wen, Chenyan Xiong [report]

3. Robust Collaborative Bayesian Filtering, Alex Beutel, Kenton Murray [report]

4. Capturing Seasonality via Hierarchical Bayesian Network, Da-Cheng Juan, Zhen Tang, Chunlei Liu [report]

5. Supervised Mixed Membership Block Models, Ankur Gandhe, Meghana Kshirsagar, Lingpeng Kong [report]

6. Graphical Models for the Integration of Continuous and Discrete Genomic Data in Disease Diagnosis, S. A. Chowdhury and R. Donovan and A. Sedgewick [report]

7. Discovering Compact Communities in Social Networks using Text and Link Information, Mrinmaya Sachan, Shashank Srivastava, Keerthiram Murugesan [report]

8. Faster Unsupervised morphology Induction, Victor Chahuneau, Peter Schulam, Phani Gadde [report]

9. Detecting Metaphors in Textual Data, Kartik Goyal, Shriphani Palakodety, Thom Popovici [report]

10. Testing for Disease-SNP Association while Allowing for SNP-SNP Interaction , Andrew Cheng [report]

11. Learning Fastfood Feature Transforms for Scalable Neural Networks, Micol Marchetti-Bowick, Willie Neiswanger [report]

12. Graphical Models and Inference Algorithms for Transition-based Dependency Parsing, Carlton Downey, Ahmed Hefny, Adona Iosif [report]

13. Feature Learning for Multimedia Event Detection using Neural Networks, Zaid Sheikh, Zhen-zhong Lan, Shourabh Rawat [report]

14. A Comparison of Sequential and Topic models for Named Entity Recognition on Tweets, Yiwen Chen, Xiaohua Yan, Wei Zhang [report]

15. BA-POMDP: A Novel Inference and Learning Method for Optimal Management of a Wind Farm, Milad Memarzadeh, Ada Zhang, Jingwei Zhang [report]