2 papers
cs.LG2026
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Niclas KannengieÃer, Niklas Hasebrook, Felix Morsbach +5
Programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization and evolutionary algorithms, are highly sample-efficient in identifying optimal hyperparameter…
cs.LG2024
R+R:Understanding Hyperparameter Effects in DP-SGD
Felix Morsbach, Jan Reubold, Thorsten Strufe
Research on the effects of essential hyperparameters of DP-SGD lacks consensus, verification, and replication. Contradictory and anecdotal statements on their influence make matter…