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  • 标题:Reconstruction of Depth- 4 Multilinear Circuits
  • 本地全文:下载
  • 作者:Vishwas Bhargava ; Shubhangi Saraf ; Ilya Volkovich
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2019
  • 卷号:2019
  • 页码:1-27
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We present a deterministic algorithm for reconstructing multilinear ( k ) circuits, i.e. multilinear depth- 4 circuits with fan-in k at the top + gate. For any fixed k , given black-box access to a polynomial f F [ x 1 x 2 x n ] computable by a multilinear ( k ) circuit of size s , the algorithm runs in time quasi-poly( n s F ) and outputs a multilinear ( k ) circuit of size quasi-poly( n s ) that computes f .

    Our result solves an open problem posed in \cite{GKL12} (STOC, 2012). Indeed, prior to our work, efficient reconstruction algorithms for multilinear ( k ) circuits were known only for the case of k = 2 \cite{GKL12, Volkovich17}.

  • 关键词:arithmetic circuits ; learning ; reconstruction
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