Hyperparameter Optimization

Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021 Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021 Meta-learning to Improve Pre-training NeurIPS 2021 NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters ACML 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020 Hyperparameter Ensembles for Robustness and Uncertainty Quantification NeurIPS 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020 ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool NeurIPS 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020 Neural Architecture Generator Optimization NeurIPS 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Tuning Causal Discovery Algorithms PGM 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text ACL 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019