Unbiased Learning from Biased User Feedback with Thorsten Joachims – TWiML Talk #207
Thorsten participated at the conference’s AI Summit, presenting his research on “Unbiased Learning from Biased User Feedback.” In our conversation, we take a look at some of the inherent and introduced biases in recommender systems, and the ways to avoid them. We also discuss how inference techniques can be used to make learning algorithms more robust to bias, and how these can be enabled with the correct type of logging policies.
The complete show notes for this episode can be found at https://twimlai.com/talk/207.
For more information on our AWS re:Invent series, visit https://twimlai.com/reinvent2018.
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