D E
Markov chain Monte Carlo in pratice

$$\mathbf{D}$$
$$\mathbf{E}$$
$$\begin{array}{r l r l}{\mathrm{D}}&{{}}&{{}\mathrm{ff}}\end{array}$$
$$Sta\,{\dot{t}}\,{\dot{s}}\,tical\,\,\,Field\,\,\,Th\,{e}or{y}$$. 
U

Variational Methods for Inference and Estimation in Graphical

$$M o d\,e l s\qquad\mathrm{D}$$
$$\mathbf{v}_{\mathrm{f}}$$
E Learning in Graphical Models

$$\mathbf{Z}$$
$$\begin{array}{c}{{\mathrm{V}}}\\ {{G r a p h i c a l~M o d e l s}}\end{array}$$
$$\mathbf{\Sigma}0$$

F

$$\mathrm{E}\qquad\qquad A d v a$$

Advances in Neural Information Processing Systems 10

$\mathrm{O}$). 

$$\begin{array}{l l}{\mathrm{F}}&{\mathrm{E}}\\ {N e u r a\,l\,\ C o\,m p u t a t i o\,n}&{1\,0}\end{array}$$
$$\mathrm{E}$$ $$u t a t i o\,n\setminus1\,\theta$$

$$\mathrm{N}\quad\mathrm{D}$$
Fourteenth Conference on Uncertainty in Artificial Intelligence D
Systems 6

0
N

$$\mathrm{D}$$
$$\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\partial}\mathbf{\}$$
$$/\sim\qquad/$$
$${\mathrm{}}^{\prime}{\mathrm{}}{\mathrm{H}}^{\prime}$$
$$\mathrm{{U}}$$

$$J_{O\;u r n a l}$$

N
of Physics C: Solid State Physics  18

$\because\;\;S\:o\!\!\!\!\!\!\!\subset\!\supset\!\!\!\!\subset\!\supset d\;\;S$  . 
Statistical Field Theory  F

$$\mathbb{N}$$

Pro babilistic  Reasoning in  Intelligent  Systems F
Complex Systems  1

$\square$
$\mathfrak{f}$. 

0

$$\mathrm{E}\qquad\mathrm{~}L e a r n i n g\,\,\,i n$$

Proba bility  and  Random  Processes Network:  Computation in Neural