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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-02-06 15:29:16 -0500 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-02-06 15:29:16 -0500 |
| commit | 0fce88fe961a633d072e01345da8f71011dfc9e1 (patch) | |
| tree | ef1e58b7d27858d7f33f485729d012c18ef99db9 /paper/sections/discussion.tex | |
| parent | f003e432e163756a70662fe304f667b612e9ce78 (diff) | |
| download | cascades-0fce88fe961a633d072e01345da8f71011dfc9e1.tar.gz | |
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| -rw-r--r-- | paper/sections/discussion.tex | 5 |
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diff --git a/paper/sections/discussion.tex b/paper/sections/discussion.tex index b2947a1..9d7f491 100644 --- a/paper/sections/discussion.tex +++ b/paper/sections/discussion.tex @@ -10,12 +10,11 @@ has been obtained for the Lasso in the recent series of papers \cite{javanmard2014, zhang2014}. Finally, the linear threshold model is a commonly studied diffusion process and can also be cast as a \emph{generalized linear cascade} with inverse link function $z \mapsto \mathbbm{1}_{z > 0}$: - -\begin{equation} +$ \label{eq:lt} \tag{LT} X^{t+1}_j = \text{sign} \left(\inprod{\theta_j}{X^t} - t_j \right) -\end{equation} + $ This model therefore falls into the 1-bit compressed sensing model \cite{Boufounos:2008} framework. Several recent papers study the theoretical |