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Found 5 papers, 0 papers with code
Measuring GAN Training in Real Time
Generative Adversarial Networks (GAN) are popular generative models of images.
Bayesian high-dimensional linear regression with generic spike-and-slab priors
Spike-and-slab priors are popular Bayesian solutions for high-dimensional linear regression problems.
Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family
In this paper, we establish consistency and convergence rate of CD with annealed learning rate $\eta_t$.
Convergence of Contrastive Divergence Algorithm in Exponential Family
\sum_{s=0}^{t-1} \theta_s \right/ t$ as $t \to \infty$ is a consistent estimate for the true parameter $\theta_\star$.
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
Approximate Bayesian Computation (ABC) methods are used to approximate posterior distributions in models with unknown or computationally intractable likelihoods.
