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