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We study how well can $q$-query decision trees distinguish between the
following two distributions: (i) $R=(R_1,\ldots,R_N)$ that are i.i.d.
variables, (ii) $X=(R|R \in A)$ where $A$ is an event s.t. $\Pr[R \in A] \ge
2^{-a}$. We prove two lemmas:
- Forbidden-set lemma: There exists $B \subseteq [N]$ of
size ...
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We show that for every small AC$^{0}$ circuit
$C:\{0,1\}^{\ell}\to\{0,1\}^{m}$ there exists a multiset $S$ of
$2^{m-m^{\Omega(1)}}$ restrictions that preserve the output distribution of
$C$ and moreover \emph{polarize min-entropy: }the restriction of $C$ to
any $r\in S$ either is constant or has polynomial min-entropy. This
structural result is then applied to ...
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Promise CSPs are a relaxation of constraint satisfaction problems where the goal is to find an assignment satisfying a relaxed version of the constraints. Several well known problems can be cast as promise CSPs including approximate graph and hypergraph coloring, discrepancy minimization, and interesting variants of satisfiability. Similar to CSPs, ... more >>>
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