| Date | Topic | Speaker |
|---|---|---|
| Thur 1.12 | (Travel Day - No Class) | |
| Thur 1.19 | Organizational Meeting + report on Shonan | Large-Scale Distributed Computing 2012 | Suresh |
| Thur 1.26 | report on SoDA12 | Jeff Phillips |
| Thur 2.02 | Building Certificates for Data to Aid Metaclustering Decisions | Parasaran Raman |
| Thur 2.09 | An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search Results | Hoa Nguyen |
| Thur 2.16 | On Interactive Proofs | Suresh Venkatasubramanian |
| Thur 2.23 | Google Information Session (WEB Eccles Board Room, 11:30-1pm) | |
| Thur 3.01 | Review of Scaling algorithms for approximate and exact maximum weight matching | |
| Thur 3.08 | Multiple Kernel Learning with Expert Advice | John Moeller |
| Thur 3.15 | (Spring Break - No Class) | |
| Thur 3.22 | Efficient Parallel kNN Joins for Large Data in MapReduce | Jeff Jestes |
| Scalable Multi-Query Optimization for SPARQL | Wangchao Le | |
| Thur 3.29 | Efficient Threshold Monitoring for Distributed Probabilistic Data | Mingwang Tang |
| What is "ColumbuScout"? !!! | Cody Hansen | |
| Thur 4.05 | Reduced Fluid Simulation using Sparse Matrices | Dan Gerszewski |
| Thur 4.12 | Fast Clustering using MapReduce | Samira Daruki |
| Scalable K-Means++ | Chenxu Ding | |
| Thur 4.19 | No Free Lunch in Data Privacy | Ashwin Machanavajjhala |
| Thur 4.26 | Scalable Feature Representation Schemes for Machine Learning on Natural Language | Alex Clemmer |
| Feed Following: The Big Data Challenge in Social Applications | Swetha Machanavajhala |