New threshold estimation methods combining quantile precomputation with early termination and index lookups improve top-k score estimates, cutting the gap to the ideal MUF by large fractions on standard and learned sparse indexes.
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Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes
New threshold estimation methods combining quantile precomputation with early termination and index lookups improve top-k score estimates, cutting the gap to the ideal MUF by large fractions on standard and learned sparse indexes.