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Electronic Colloquium on Computational Complexity

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TR24-198 | 10th November 2024
G V Sumukha Bharadwaj, Raja S

Randomized Black-Box PIT for Small Depth +-Regular Non-commutative Circuits

Revisions: 2

In this paper, we address the black-box polynomial identity testing (PIT) problem for non-commutative polynomials computed by $+$-regular circuits, a class of homogeneous circuits introduced by Arvind, Joglekar, Mukhopadhyay, and Raja (STOC 2017, Theory of Computing 2019). These circuits can compute polynomials with a number of monomials that are doubly ... more >>>


TR24-197 | 29th November 2024
Pranjal Dutta, Amit Sinhababu, Thomas Thierauf

Derandomizing Multivariate Polynomial Factoring for Low Degree Factors

For a polynomial $f$ from a class $\mathcal{C}$ of polynomials, we show that the problem to compute all the constant degree irreducible factors of $f$ reduces in polynomial time to polynomial identity tests (PIT) for class $\mathcal{C}$ and divisibility tests of $f$ by constant degree polynomials. We apply the result ... more >>>


TR24-196 | 2nd December 2024
Clement Canonne, Sayantan Sen, Qiping Yang

Settling the complexity of testing grainedness of distributions, and application to uniformity testing in the Huge Object model

In this work, we study the problem of testing $m$-\emph{grainedness} of probability distributions over an $n$-element universe $\mathcal{U}$, or, equivalently, of whether a probability distribution is induced by a multiset $S\subseteq \mathcal{U}$ of size $|S|=m$. Recently, Goldreich and Ron (Computational Complexity, 2023) proved that $\Omega(n^c)$ samples are necessary for testing ... more >>>



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