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The autoregressive (AR) model is a stochastic process modelling time series, which specifies the value of the series linearly in terms of the previous values.

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Accuracy of probability estimate from generative autoregressive language model

If we compare a CNN to a generative model such as an autoregressive language model that is trained to estimate $p(\mathbf{w})$, where $\mathbf{w} = [w_1 ... w_n]$ is a sequence of words and $p(\mathbf … {w}) = p(w_1) \prod_{i=2}^n p(x_i | x_{1..i-1})$, the underlying components of the discriminative CNN classifier vs. the generative autoregressive language model are similar (i.e., convolutional networks …
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