## Archive for the ‘Posted by Greg Ver Steeg’ Category

### Deep learning for insights

I admit that this is a bit of a melodramatic title. I was actually a little surprised that, before I used it, the phrase “deep learning for insights” did not exist in google. I gave a talk at eHarmony with this title, for the LA machine learning group. The video is posted here. The original announcement also has […]

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I’ve been working on a series of posts about an exciting line of work I’m pursuing. The groundwork is in this paper. The basic idea is that any thing we learn from inputs should be considered a representation. What would happen if we searched over the space of all representations for one that is most informative about […]

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### Correlation Explanation Preview

A “real” blog update will be some time coming. In the meantime, there are some pretty pictures from preliminary results if you click around here. The picture below is a cool result where our method took results from survey questions (like “Are you the life of the party?”) and automatically discovered that there should be […]

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Demystifying Information-Theoretic Clustering Quick summary: Finding clusters in data is a fundamental problem in machine learning. You’d like to be able to do so without making any assumptions about your data. Information theory provides a good way to do this, but the first few attempts to do so have been fundamentally flawed. We fix the […]

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### Correlation doesn’t imply causation (but some correlations can imply at least some causation)

If you’ve been reading science news, you’ve seen over the years that obesity, happiness, loneliness, and divorce are all contagious. Just a few weeks ago, I read that grades are also contagious. Certainly, it’s not surprising to find out that friends’ behaviors are correlated on all these fronts, but is that enough to say for sure […]

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### My Facebook Network

Thanks to the magic of Mathematica 9, you can now make pretty pictures of your social networks with a single command. I was impressed by how well it automatically captured the true structure of my network, which I labeled and included below. I’m not sure what you can conclude about me as a person, except […]

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### Black holes

In grad school I collaborated with Chris Adami on some papers about black holes. We suggested that some of the mysteries surrounding black holes may evaporate if you correctly include the effects of stimulated emission. Chris is presenting some of these results now at the APS meeting, and on his new blog. (paper)

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Can we measure the effect of one person’s words on another person? I want to describe the main idea behind my recent paper, Information-Theoretic Measures of Influence Based on Content Dynamics, which I’m presenting at WSDM 2013. Ostensibly, information theory is a dry, academic subject about how to send 0’s and 1’s through a noisy channel (like […]

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New preprint: http://arxiv.org/abs/1208.4475. The title is changing to: “Information-Theoretic Measures of Influence Based on Content Dynamics”. I’ll give a detailed, readable summary in a week or two. I’ll be presenting about this at WIN workshop, so please come! For now, imagine the following problem. There are hundreds of people in a large room talking to each […]

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