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@@ -19,6 +19,6 @@ Each subject $i$ declares an associated cost $c_i >0$ to be part of the experime
mechanism for \SEDP{} with suitable properties.
We present a deterministic, polynomial time, $\delta$-truthful, budget feasible mechanism for \SEDP{}.
-By applying previous work on budget feasible mechanisms with submodular objective, one could {\em only} have derived either an exponential time deterministic mechanism or a randomized polynomial time mechanism. Our mechanism yields a constant factor ($\approx 12.68$) approximation, and we show that no truthful, budget-feasible algorithms are possible within a factor $2$ approximation. We also show how to generalize our approach to a wide class of learning problems.
+By applying previous work on budget feasible mechanisms with submodular objective, one could {\em only} have derived either an exponential time deterministic mechanism or a randomized polynomial time mechanism. Our mechanism yields a constant factor ($\approx 12.68$) approximation, and we show that no truthful, budget-feasible algorithms are possible within a factor $2$ approximation. We also show how to generalize our approach to a wide class of learning problems, beyond linear regression.