A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).
Thank you for posting the source code for your experiments! While viewing it I noticed that computation of the density q(z|ψ) at SIVAE.py#L113 seemingly lacks the normalizing constant that includes the changing variance term.
Am I missing something? Is it cancelled out somehow?
Thanks for your interest in SIVI. The normalizing constant with covariance is on #L114 log_H_iw = tf.log(tf.reduce_mean(ker,axis=2))-0.5*tf.reduce_sum(z_logv_iw,2)
Hello
Thank you for posting the source code for your experiments! While viewing it I noticed that computation of the density q(z|ψ) at SIVAE.py#L113 seemingly lacks the normalizing constant that includes the changing variance term.
Am I missing something? Is it cancelled out somehow?