Bayesian learning via stochastic gradient langevin dynamics
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Variational Inference: A Review for Statisticians→Bayesian learning via stochastic gradient langevin dynamicsLegacy edge — source detail unavailable
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models→Bayesian learning via stochastic gradient langevin dynamicsLegacy edge — source detail unavailable
- A review of uncertainty quantification in deep learning: Techniques, applications and cha…→Bayesian learning via stochastic gradient langevin dynamicsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Bayesian learning via stochastic gradient langevin dynamicsLegacy edge — source detail unavailable
- Stochastic variational inference→Bayesian learning via stochastic gradient langevin dynamicsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Stochastic variational inferenceLegacy edge — source detail unavailable
- A review of uncertainty quantification in deep learning: Techniques, applications and cha…→Variational Inference: A Review for StatisticiansLegacy edge — source detail unavailable
- A review of uncertainty quantification in deep learning: Techniques, applications and cha…→Variational Inference: A Review for StatisticiansLegacy edge — source detail unavailable
What cites it, inside the corpus
Links
Topics
| Gaussian Processes and Bayesian Inference | Computer Science |
| Markov Chains and Monte Carlo Methods | Mathematics |
| Machine Learning and Algorithms | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports13 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 88a60cdbb94c6a13…