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Papers
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
NIPS 2022
Modeling the Machine Learning Multiverse
NIPS 2022
Zero-shot AutoML with Pretrained Models
ICML 2022
Bayesian Generational Population-Based Training
AUTOML 2022
Bayesian Optimization over Hybrid Spaces
ICML 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
IJCAI 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021