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Found 4 papers, 1 papers with code
Avoiding Resentment Via Monotonic Fairness
Classifiers that achieve demographic balance by explicitly using protected attributes such as race or gender are often politically or culturally controversial due to their lack of individual fairness, i. e. individuals with similar qualifications will receive different outcomes.
Stochastic Blockmodels with Edge Information
For example, in an email network, the volume of communication between two users and the content of that communication can give us information about both the strength and the nature of their relationship.
Importance Weighted Generative Networks
Deep generative networks can simulate from a complex target distribution, by minimizing a loss with respect to samples from that distribution.
Directing Generative Networks with Weighted Maximum Mean Discrepancy
In this paper, we construct an estimator for the MMD between P and Q when we only have access to P via some biased sample selection mechanism, and suggest methods for estimating this sample selection mechanism when it is not already known.
