| The variational Laplace approach to approximate Bayesian inference | Mar 2, 2017 | Bayesian InferenceModel Selection | —Unverified | 0 |
| On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation | Feb 28, 2017 | Denoisingparameter estimation | —Unverified | 0 |
| Guaranteed Parameter Estimation for Discrete Energy Minimization | Jan 11, 2017 | parameter estimationScene Parsing | —Unverified | 0 |
| Deep Neural Networks to Enable Real-time Multimessenger Astrophysics | Dec 30, 2016 | Astronomyparameter estimation | —Unverified | 0 |
| Partial Membership Latent Dirichlet Allocation | Dec 28, 2016 | parameter estimationSand | CodeCode Available | 0 |
| A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data | Dec 20, 2016 | parameter estimation | —Unverified | 0 |
| Bayesian methods for solving estimation and forecasting problems in the high-frequency trading environment | Dec 16, 2016 | Density Estimationparameter estimation | CodeCode Available | 0 |
| Distributed Gaussian Learning over Time-varying Directed Graphs | Dec 6, 2016 | parameter estimation | —Unverified | 0 |
| Exact Recovery of Hard Thresholding Pursuit | Dec 1, 2016 | parameter estimation | —Unverified | 0 |
| Semiparametric Differential Graph Models | Dec 1, 2016 | parameter estimation | —Unverified | 0 |
