Hyperband
PulseAugur coverage of Hyperband — every cluster mentioning Hyperband across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New method optimizes ES-HyperNEAT training, cutting costs by 41.6%
Researchers have developed a data-driven method for early stopping in hyperparameter configurations for ES-HyperNEAT, an evolutionary algorithm. This approach uses a binary classification on fitness trajectories to iden…
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New HyperMC framework optimizes SGMCMC hyperparameters
Researchers have developed HyperMC, a novel framework for optimizing hyperparameters in Stochastic Gradient Markov Chain Monte Carlo (SGMCMC) methods. This approach utilizes a multi-fidelity tuning strategy, combining H…
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New method optimizes Random Forest tree count
Researchers have developed a new method for optimizing the number of trees in Random Forest models, addressing a common challenge in hyperparameter tuning. Their approach uses a triplet-based plateau-search algorithm th…