natural language processing blog
I am super reticent to write this because so many people have written similar things. Yet despite that, we still have things like an initial workshop program with 17 invited speakers of whom 16 are men (at ICML 2018) and a panel where 3 of the 5 panelists are or were previously in the same group at Stanford (at NAACL 2018). And I (and others) still...
A while ago I created this image for thinking about how machine learning systems tend to get deployed. In this figure, for Chapter 2 of CIML, the left column shows a generic decision being made, and the right column shows an example of this decision in the case of advertising placement on a search engine we’ve built. The purpose of the image at the...
Score-based multiclass classifiers typically have the following form: x is a d-dimensional input vector (perhaps engineered features, perhaps learned features), A is a d*k matrix, where k is the number of classes, and the prediction is given by computing a score vector y=Ax. (This is a blog post, not an arxiv paper, so I'm going to be a bit fast a loose...
Like lots of folks, I wonder sometimes about AI and jobs. I'm neither a believer that there's a catastrophe coming up, nor am I a believer that everything will magically work out and we're not entering a world with new forms of inequities. I did have an experience recently that made me think somewhat differently about what sorts of jobs are at risk....
It's really strange to look back now over the past ten to fifteen years and see a very small pendulum that no one really cares about swing around. I've spent the last ten years trying to convince you that structured prediction is RL; now I'm going to tell you that was a lie :). Short Personal History Back in 2005, John Langford, Daniel Marcu and...
There are a handful of definitions of "fairness" lying around, of which the most common is disparate impact: the rate at which you hire members of a protected category should be at least 80% of the rate you hire members not of that category. (Where "hire" is, for our purposes, a prediction problem, and 80% is arbitrary.) DI has all sorts of issues,...
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