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Model-Driven Simulation to Evaluate Performance Impact of Workload Features on Parallel Systems., and . CLUSTER, page 84-92. IEEE Computer Society, (2011)Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals., , and . Statistics and Computing, 26 (1-2): 361-381 (2016)Using Historical Data to Predict Application Runtimes on Backfilling Parallel Systems., and . PDP, page 246-252. IEEE Computer Society, (2010)Variational Bayes on Manifolds., , and . CoRR, (2019)Likelihood-free inference in high dimensions with synthetic likelihood., , , , and . Computational Statistics & Data Analysis, (2018)Variational Bayes with synthetic likelihood., , , , and . Statistics and Computing, 28 (4): 971-988 (2018)Serverless Computing Approach for Deploying Machine Learning Applications in Edge Layer., , and . ICOIN, page 396-401. IEEE, (2022)Learning Features For Relational Data., , , , and . CoRR, (2018)Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models., , and . Commun. Stat. Simul. Comput., 48 (2): 530-543 (2019)Parallel Workload Modeling with Realistic Characteristics., , and . IEEE Trans. Parallel Distrib. Syst., 25 (8): 2138-2148 (2014)