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Hyperparameter Optimization

74 directly classified papers

Papers per year

Papers

HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019
TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text ACL 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NIPS 2019
Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning CVPR 2018
Scalable Hyperparameter Transfer Learning NIPS 2018
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Predicting accuracy on large datasets from smaller pilot data ACL 2018
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
An Efficient Approach for Assessing Hyperparameter Importance ICML 2014
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014
Multi-Task Bayesian Optimization NIPS 2013
Algorithms for Hyper-Parameter Optimization NIPS 2011
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006