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Large Projects
Small Projects
- A General Framework for Workload Evaluation
Kristal Sauer, Charles Reiss, Alexandra Constantin, Archana Sulochana Ganapathi, Armando Fox, David A. Patterson and Michael Jordan
- Agreement-based Learning
Percy Shuo Liang, Daniel Klein and Michael Jordan
- Classification of Images with Hierarchical Beta Processes
Romain Jean Thibaux, Michael Jordan and Erik Sudderth
- DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha and Michael Jordan
- Grammar Learning Using Bayesian Nonparametrics
Percy Shuo Liang, Slav Orlinov Petrov, Michael Jordan and Daniel Klein
- In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Nina Taft, Anthony D. Joseph and Michael Jordan
- Nonparametric Bayesian Methods for Machine Learning
Romain Jean Thibaux and Michael Jordan
- Sparse Principal Component Analysis (SPCA)
Laurent El Ghaoui and Michael Jordan
- Statistical Analysis of Estimators in Machine Learning
Percy Shuo Liang and Michael Jordan
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