The following pages link to (Q4998051):
Displaying 8 items.
- Distributed probabilistic inferencing in sensor networks using variational approximation (Q436649) (← links)
- Distributed variational Bayesian algorithms for Gaussian mixtures in sensor networks (Q1957240) (← links)
- Scaling up Bayesian variational inference using distributed computing clusters (Q2411280) (← links)
- Computing committors in collective variables via Mahalanobis diffusion maps (Q2689136) (← links)
- Distributed density estimation in sensor networks based on variational approximations (Q3102841) (← links)
- An Asynchronous Distributed Expectation Maximization Algorithm for Massive Data: The DEM Algorithm (Q3391226) (← links)
- Trust-region based stochastic variational inference for distributed and asynchronous networks (Q6052508) (← links)
- Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning (Q6136164) (← links)
