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Hyperparameter Optimization

74 directly classified papers

Papers per year

Papers

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021
Composite Adversarial Attacks AAAI 2021
Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021
A Highly-Parameterized Ensemble to Play Gin Rummy AAAI 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021
Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021
Rethinking Performance Estimation in Neural Architecture Search CVPR 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification NIPS 2020
Neural Architecture Generator Optimization NIPS 2020
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool NIPS 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020