A generative-model-based test for equality of conditional distributions that uses cross-generation, an RKHS-indexed supremum statistic, and multiplier bootstrap, with claimed double robustness to generator errors.
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The paper introduces two general frameworks for conditional two-sample testing by converting conditional independence tests or using density ratio estimation to enable marginal comparisons.
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Testing Equality of Conditional Distributions via Generative Models
A generative-model-based test for equality of conditional distributions that uses cross-generation, an RKHS-indexed supremum statistic, and multiplier bootstrap, with claimed double robustness to generator errors.
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General Frameworks for Conditional Two-Sample Testing
The paper introduces two general frameworks for conditional two-sample testing by converting conditional independence tests or using density ratio estimation to enable marginal comparisons.