Dear Students,
We are pleased to announce open Masters thesis topics in the area of Statistics and Deep Learning. If you are interested in exploring innovative research and working closely with our team at SCC, we encourage you to apply.
For more information about the available topics and application process, please visit: https://kleinlab-statml.github.io/teaching.html.
We look forward to hearing from you!
Liebe Studierende,
Wir freuen uns, offene Masterarbeitsthemen im Bereich Statistik und Deep Learning anzukündigen. Wenn Sie Interesse an innovativer Forschung und einer engen Zusammenarbeit mit unserem Team am SCC haben, laden wir Sie herzlich zur Bewerbung ein.
Weitere Informationen zu den verfügbaren Themen und dem Bewerbungsprozess finden Sie hier: https://kleinlab-statml.github.io/teaching.html.
Wir freuen uns auf Ihre Rückmeldung!
Topics include:
* Understanding and implementing predictive information criteria for Bayesian models * Asymptotic behavior of the posterior in overfitted (deep) mixture models * Posterior concentration rates for Bayesian high-dimensional sparse additive models * Uncertainty quantification for deep learning * Using stacking to average distributional regression models * Measuring explained variance in structured additive distributional regression * Comparisons and implementation of non-local shrinkage priors * Approximated Bayesian multivariate spatial factor analysis * Targeted sampling based on epistemic uncertainty for improving predictive performance in DL tasks with costly data acquisition * Uncertainty quantification for complex-valued deep neural networks * Variational inference for distributional regression * Informed shrinkage in Bayesian graphical modeling via external networks * Basis selection in Bayesian semi-parametric regression using increasing shrinkage priors
Mit freundlichen Grüßen / Best Regards,
Moussa Kassem Sbeyti
Research Group Methods for Big Data
Karlsruhe Institute of Technology (KIT)
Scientific Computing Center (SCC)
Zirkel 2, 76131 Karlsruhe, Germany
https://kleinlab-statml.github.io/ https://kleinlab-statml.github.io/
https://twitter.com/KleinSLab/ https://twitter.com/KleinSLab/
Registered office: Kaiserstraße 12, 76131 Karlsruhe, Germany
KIT - The Research University in the Helmholtz Association
