...
Date | Presenter | Topic(s) | Resources/Papers | Other activities/ comments | ||
|---|---|---|---|---|---|---|
2/7 | Anshu | Scalable Learning | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine |
|
| |
2/14 |
|
| Yun | Gaussian Process Latent Variable Models | TBA |
|
2/21 | Ian |
|
|
| ||
2/28 | Ozan | Deep Learning |
|
| ||
3/7 | Tobias |
|
| |||
3/14 | Karthik | Interactive Machine Learning |
|
| ||
3/21 | Jason TBA | Generative Stochastic Networks |
|
| ||
3/28 |
|
| Ruben | practice talk (www'14) | Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content |
|
4/11 |
|
| Adith | Learning embeddings, Social Networks |
| |
4/18 | Ashesh |
|
| Proximal Algorithms | Theory, properties and applications (Notes) | Tutorial/Discussion style |
4/25 | Moontae |
| Stochastic Embedding | t-Stochastic Neighbor Embedding (Paper) |
| |
5/2 | Vikram |
| Multiple-source cross-validation |
|