Directed Networks
Leveraging the Exact Likelihood of Deep Latent Variable Models
Pierre-Alexandre Mattei, Jes Frellsen
Neural Information Processing Systems http://nips.cc/
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru
Neural Information Processing Systems http://nips.cc/
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
The lasso and elastic net linear regression models impose a double-exponential prior distribution on the model parameters to achieve regression shrinkage and variable selection, allowing the inference of robust models from large data sets.
fe04e05fbe48920b8ba90bea2ddfe60b-Supplemental.pdf
We study whether and how can we model a joint distributionp(x,z)using two conditional modelsp(x|z) and q(z|x) that form a cycle.
On the Generative Utility of Cyclic Conditionals Chang Liu 1, Haoyue T ang 2, Tao Qin
Work done during an internship at Microsoft Research Asia.
