Sort by
Refine Your Search
-
Master Thesis on Bayesian Optimization of Multi-stage Processes with Smart Inducing Point Allocation
and BoTorch is preferred Good coding practices Knowledge about inference methods, Gaussian processes, variational inference, Bayesian optimization Willingness to learn and research about SOTA topics
-
. GPyTorch and BoTorch is preferred. Good coding practices Knowledge about inference methods, Gaussian processes, variational inference, Bayesian optimization Willingness to learn and research about SOTA
-
be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
Searches related to bayesian inference
Enter an email to receive alerts for bayesian-inference positions