Search Results for author: Yigit E. Erginbas

Found 1 papers, 0 papers with code

Learning to Understand: Identifying Interactions via the Mobius Transform

no code implementations4 Feb 2024 Justin S. Kang, Yigit E. Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran

In the case where all interactions are between at most $t = \Theta(n^{\alpha})$ inputs, for $\alpha < 0. 409$, we are able to leverage results from group testing to provide the first algorithm that computes the Mobius transform in $O(Kt\log n)$ sample complexity and $O(K\mathrm{poly}(n))$ time with vanishing error as $K \rightarrow \infty$.

Learning Theory

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