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| author | Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)> | 2012-11-04 19:59:20 -0800 |
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| committer | Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)> | 2012-11-04 19:59:20 -0800 |
| commit | 35ff12aed97bcae04e89853fefa7443a03875bec (patch) | |
| tree | 3ea4dded79000d1b32cbb6eb42aaddf9c1102206 /related.tex | |
| parent | c8865535a14a79581d3b9eb7c52cb853a831e180 (diff) | |
| download | recommendation-35ff12aed97bcae04e89853fefa7443a03875bec.tar.gz | |
small stuff
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| -rw-r--r-- | related.tex | 2 |
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diff --git a/related.tex b/related.tex index 6f55208..2788478 100644 --- a/related.tex +++ b/related.tex @@ -4,7 +4,7 @@ Budget feasible mechanism design was originally proposed by Singer \cite{singer-mechanisms}. Singer considers the problem of maximizing an arbitrary submodular function subject to a budget constraint in the \emph{value query} model, \emph{i.e.} assuming an oracle providing the value of the submodular objective on any given set. Singer shows that there exists a randomized, 112-approximation mechanism for submodular maximization that is \emph{universally truthful} (\emph{i.e.}, it is a randomized mechanism sampled from a distribution over truthful mechanisms). Chen \emph{et al.}~\cite{chen} improve this result by providing a 7.91-approximate mechanism, and show a corresponding lower bound of $2$ among universally truthful mechanisms for submodular maximization. -In contrast to the above results, no truthful, constant approximation mechanism that runs in polynomial time is presently known for submodular maximization. However, assuming access to an oracle providing the optimum in the full-information setup, Chen \emph{et al.},~provide a truthful, $8.34$-appoximate mechanism; in cases for which the full information problem is NP-hard, as the one we consider here, this mechanism is not poly-time, unless $P=NP$. Moreover, Chen et al.~prove a $1+\sqrt{2}$ lower bound for truthful mechanisms, improving upon an earlier bound of 2 by Singer \cite{singer-mechanisms}. +In contrast to the above results, no truthful, constant approximation mechanism that runs in polynomial time is presently known for submodular maximization. However, assuming access to an oracle providing the optimum in the full-information setup, Chen \emph{et al.},~provide a truthful, $8.34$-appoximate mechanism; in cases for which the full information problem is NP-hard, as the one we consider here, this mechanism is not poly-time, unless P=NP. Chen \emph{et al.}~also prove a $1+\sqrt{2}$ lower bound for truthful mechanisms, improving upon an earlier bound of 2 by Singer \cite{singer-mechanisms}. Improved bounds, as well as deterministic polynomial mechanisms, are known for specific submodular objectives. For symmetric submodular functions, a truthful mechanism with approximation ratio 2 is known, and this ratio is tight \cite{singer-mechanisms}. Singer also provides a 7.32-approximate truthful mechanism for the budget feasible version of \textsc{Matching}, and a corresponding lower bound of 2 \cite{singer-mechanisms}. Improving an earlier result by Singer, Chen \emph{et al.}~\cite{chen} , give a truthful, $2+\sqrt{2}$-approximate mechanism for \textsc{Knapsack}, and a lower bound of $1+\sqrt{2}$. Finally, a truthful, 31-approximate mechanism is also known for the budgeted version of \textsc{Coverage} \cite{singer-mechanisms,singer-influence}. |
