Sebastian J. Vollmer

According to our database1, Sebastian J. Vollmer authored at least 11 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations.
Stat. Comput., 2020

MLJ: A Julia package for composable Machine Learning.
CoRR, 2020

2019
Design choices for productive, secure, data-intensive research at scale in the cloud.
CoRR, 2019

2018
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.
CoRR, 2018

2017
Multilevel Monte Carlo for Reliability Theory.
Reliab. Eng. Syst. Saf., 2017

Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
J. Mach. Learn. Res., 2017

Relativistic Monte Carlo.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics.
J. Mach. Learn. Res., 2016

Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics.
J. Mach. Learn. Res., 2016

Measuring Sample Quality with Diffusions.
CoRR, 2016

2015
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors.
SIAM/ASA J. Uncertain. Quantification, 2015


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