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16 results on '"Klein, Aaron"'

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1. Hyperparameter Optimization in Machine Learning

2. Optimizing Hyperparameters with Conformal Quantile Regression

3. Automatic Termination for Hyperparameter Optimization

4. Hyperparameter Transfer Learning with Adaptive Complexity

5. BORE: Bayesian Optimization by Density-Ratio Estimation

6. Model-based Asynchronous Hyperparameter and Neural Architecture Search

7. Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

8. Meta-Surrogate Benchmarking for Hyperparameter Optimization

9. Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization

10. NAS-Bench-101: Towards Reproducible Neural Architecture Search

11. Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

12. BOHB: Robust and Efficient Hyperparameter Optimization at Scale

13. Asynchronous Stochastic Gradient MCMC with Elastic Coupling

14. Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

15. Automatic Termination for Hyperparameter Optimization

16. Hyperparameter Transfer Learning with Adaptive Complexity

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