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SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling
Neural Information Processing Systems
Three sampling techniques are presented for comparative investigations.
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MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Neural Information Processing Systems
The fundamental problem of non-parametric two-sample testing consists in detecting the difference between any two distributions having access only to samples from these.
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