Random uniform sampling dominates proxy-guided MCMC for data-quality profiling at scale, with up to 49x lower error on real datasets.
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Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines
Random uniform sampling dominates proxy-guided MCMC for data-quality profiling at scale, with up to 49x lower error on real datasets.