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Date | Presenter | Topic(s) | Resources/Papers | Other activities/ comments | ||||||
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9 2/6/2013 7 | Ruben Anshu | General ML |
| Scalable Learning | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine 9/13/2013 |
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9/20/2013 | Karthik | Active Learning, Crowdsourcing | Tutorial style discussion. | Paul Bennett (AI Seminar) | ||||||
2/14 | Yun | Gaussian Process Latent Variable Models | TBA |
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2/21 | Ian | 9/27/2013 |
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10 2/4/2013 28 | Adith Ozan | Distributed Representations | Deep Learning | Freeform discussion. |
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10 3/11/2013 7 | Tobias |
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10 3/18/2013 14 | Hema Karthik TBA | Interactive Machine Learning | TBA |
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10 3/25/2013 21 | Bishan Jason TBA | Generative Stochastic Networks | TBA |
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11 3/1/2013 28 | Ashesh | TBA | Ruben | practice talk (www'14) | Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content TBA |
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4/11 /8/2013 | Chenhao | TBA | Adith | Learning embeddings, Social Networks |
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11 4/15/2013 18 | Ashesh |
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11/22/2013 |
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11/29/2013 | Thanksgiving break |
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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 | Multiple-source cross-validation | 12/6/2013 |
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