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Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.

, , and . ACML, volume 63 of JMLR Workshop and Conference Proceedings, page 142-157. JMLR.org, (2016)

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Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers., , and . ACML, volume 63 of JMLR Workshop and Conference Proceedings, page 142-157. JMLR.org, (2016)Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning., , , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 229-245. Springer, (2019)Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent., , and . ALT, volume 9355 of Lecture Notes in Computer Science, page 317-331. Springer, (2015)