From 4d665f8693faf85ee20556508db27b86bb62f219 Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Fri, 2 Nov 2012 15:15:50 +0100
Subject: Compute the constant in the upper bound of the general theorem

---
 general.tex | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

(limited to 'general.tex')

diff --git a/general.tex b/general.tex
index 530b8d3..12e01a5 100644
--- a/general.tex
+++ b/general.tex
@@ -57,19 +57,14 @@ For two reasons:
  For the function $\tilde{V}$ defined above, there is a truthful, budget
  feasible mechanism which achieves an approximation ratio of:
  \begin{displaymath}
-    \frac{5e-1}{e-1}\frac{\log(1+\mu)}{\mu} + A
+    \frac{5e-1}{e-1}\frac{2\mu}{\log(1+\mu)} + 5.1
  \end{displaymath}
-where $\mu$ is the smallest eigenvalue of $R$ (and $A$ is a constant that
-I will compute tomorrow, it should be roughly around 10).
+where $\mu$ is the smallest eigenvalue of $R$.
 \end{theorem}
 
 Note that everything becomes nice when $R \geq I_d$. In this case, the smallest
 eigenvalue is larger than 1. Hence $\log\det R\geq 0$ and an approximation on
 $\tilde{V}$ gives an approximation ration on $V$ (see discussion above).
-Furthermore, we can bound $\log(1+\mu)/\mu$ by 1 and I think we fall back on
-the approximation ratio of section 2.
-
-Can we motivate that $R\geq 1$ ?
 
 \subsection{Beyond Linear Models}
 TODO: Independent noise model. Captures models such as logistic regression, classification, etc. Arbitrary prior. Show that change in the entropy is submodular (cite Krause, Guestrin). 
-- 
cgit v1.2.3-70-g09d2

