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Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace
In this paper, we propose an offline counterfactual policy estimation framework called Genie to optimize Sponsored Search Marketplace.
Scalable Text and Link Analysis with Mixed-Topic Link Models
The resulting model has the advantage that its parameters, including the mixture of topics of each document and the resulting overlapping communities, can be inferred with a simple and scalable expectation-maximization algorithm.
Model Selection for Degree-corrected Block Models
We present the first principled and tractable approach to model selection between standard and degree-corrected block models, based on new large-graph asymptotics for the distribution of log-likelihood ratios under the stochastic block model, finding substantial departures from classical results for sparse graphs.
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