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I have tried to display the following markdown text with latex equations and some are not being displayed:
Efficient training is therefore possible by optimizing random terms of $L$ with stochastic gradient descent. Further improvements come from variance reduction by rewriting $L$ (3) as:
$$\mathbb{E}_q \left [ D_{KL}(q(x_T|x_0) \| p(x_T)) + \sum_{t>1} D_{KL}(q(x_{t-1}|x_t, x_0) \| p_\theta (x_{t-1}|x_t)) - \log p\theta (x_0|x_1) \right ]$$
(See Appendix A for details. The labels on the terms are used in Section 3.) Equation (5) uses KL divergence to directly compare $p_\theta(x_{t-1}|x_t)$ against forward process posteriors, which are tractable when conditioned on $x_0$:
$$q(x_{t-1}|x_t, x_0) = \mathcal{N}(x_{t-1}; \bar{\mu}_t(x_t, x_0), \bar{\beta}_t\textbf{I}),$$
$$\text{where} \hspace{5mm} \bar{\mu}_t(x_t, x_0) := \frac{\sqrt{\bar{\alpha}_{t-1}}\beta_t}{1 - \bar{\alpha}_t} x_0 + \frac{\sqrt{\alpha_t}(1 - \bar{\alpha}_{t-1})}{ 1 - \bar{\alpha}_t} x_t \hspace{5mm} \text{and} \hspace{5mm} \bar{\beta}_t := \frac{1 - \bar{\alpha}_{t-1}}{1 - \bar{\alpha}_t} \beta_t$$
Here is a print of how it's being rendered on my application:
This is a bug or I'm missing some configuration?
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