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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 |
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9 2/13/2013 14 |
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| Yun | Gaussian Process Latent Variable Models | TBA |
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9 2/20/2013 21 | Karthik | Active Learning, Crowdsourcing | Tutorial style discussion. | Paul Bennett (AI Seminar) | ||||
9/27/2013 | Ashwin | Method of moments | A bit of background from |
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10/4/2013 | Adith | Distributed Representations | Freeform discussion. |
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10/11/2013 |
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10/18/2013 | Hema | Vision | TBA |
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10/25/2013 | Chenhao | Practice Talk | TBA |
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11/1/2013 | Ashesh | Human-In-Loop Learning | TBA |
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11/8/2013 |
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11/15/2013 |
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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 | Multiple-source cross-validation | 11/22/2013 |
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