Asymptotic Convergence in Online Learning with Unbounded Delays

18 Apr 2016Scott GarrabrantNate SoaresJessica Taylor

We study the problem of predicting the results of computations that are too expensive to run, via the observation of the results of smaller computations. We model this as an online learning problem with delayed feedback, where the length of the delay is unbounded, which we study mainly in a stochastic setting... (read more)

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