| Robust Risk Minimization for Statistical Learning | Oct 3, 2019 | parameter estimationregression | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Real-Time Cubature Kalman Filter Parameter Estimation of Blood Pressure Response Characteristics Under Vasoactive Drugs Administration | Sep 29, 2019 | parameter estimation | —Unverified | 0 |
| Maximal Relevance and Optimal Learning Machines | Sep 27, 2019 | parameter estimation | —Unverified | 0 |
| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 |
| Dynamic Parameter Estimation of Brain Mechanisms | Sep 26, 2019 | parameter estimation | —Unverified | 0 |
| Deep Expectation-Maximization in Hidden Markov Models via Simultaneous Perturbation Stochastic Approximation | Sep 25, 2019 | parameter estimation | —Unverified | 0 |
| Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks | Sep 20, 2019 | parameter estimation | —Unverified | 0 |
| Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy | Sep 13, 2019 | AstronomyBayesian Inference | CodeCode Available | 0 |
| Learning Bayesian posteriors with neural networks for gravitational-wave inference | Sep 12, 2019 | AstronomyBayesian Inference | CodeCode Available | 0 |
