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        <identifier>oai:drops-oai.dagstuhl.de:26450</identifier>
        <datestamp>2026-07-01T07:16:11Z</datestamp>
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          <dc:title>Sublinear-Query Relative-Error Testing of Halfspaces</dc:title>
          <dc:creator>Chen, Xi</dc:creator>
          <dc:creator>De, Anindya</dc:creator>
          <dc:creator>Huang, Yizhi</dc:creator>
          <dc:creator>Nadimpalli, Shivam</dc:creator>
          <dc:creator>Servedio, Rocco A.</dc:creator>
          <dc:creator>Yang, Tianqi</dc:creator>
          <dc:subject>Property testing</dc:subject>
          <dc:subject>relative-error testing</dc:subject>
          <dc:subject>halfspaces</dc:subject>
          <dc:subject>Gaussian space</dc:subject>
          <dc:description>The relative-error property testing model was introduced in [Chen et al., 2024] to facilitate the study of property testing for "sparse" Boolean-valued functions, i.e. ones for which only a small fraction of all input assignments satisfy the function. In this framework, the distance from the unknown target function f that is being tested to a function g is defined as Vol(f△g)/Vol(f), where the numerator is the fraction of inputs on which f and g disagree and the denominator is the fraction of inputs that satisfy f. &#13;
Recent work [Chen et al., 2026] has shown that over the Boolean domain {0,1}ⁿ, any relative-error testing algorithm for the fundamental class of {halfspaces} (i.e. linear threshold functions) must make Ω(log n) oracle calls. In this paper we complement the [Chen et al., 2026] lower bound by showing that halfspaces can be relative-error tested over ℝⁿ under the standard N(0,I_n) Gaussian distribution using a sublinear number of oracle calls - in particular, substantially fewer than would be required for learning. Our results use a wide range of tools including Hermite analysis, Gaussian isoperimetric inequalities, and geometric results on noise sensitivity and surface area.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Xi Chen and Anindya De and Yizhi Huang and Shivam Nadimpalli and Rocco A. Servedio and Tianqi Yang</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 374, 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2026.61</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-264508</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.61</dc:identifier>
          <dc:language>eng</dc:language>
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