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hyperparameter optimization

405 papers

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Also known as

CASH OPTUNA BO HO HPO

Co-occurring keywords

bayesian optimization (623) neural architecture search (665) gaussian process (1198) automated machine learning (94) model selection (454) surrogate model (181) hyperparameter tuning (213) transfer learning (5442) bilevel optimization (193) neural network optimization (1293)

Papers

Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019
Meta Learning for Hyperparameter Optimization in Dialogue System INTERSPEECH 2019
Towards modular and programmable architecture search NIPS 2019
A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019
Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019
Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019
Towards Automated Semi-Supervised Learning AAAI 2019
Learning Diffusion using Hyperparameters ICML 2018
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018
Scalable Hyperparameter Transfer Learning NIPS 2018
Efficient inference for time-varying behavior during learning NIPS 2018
Automating Bayesian optimization with Bayesian optimization NIPS 2018
The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018 EMNLP 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks NIPS 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018
A Boo(n) for Evaluating Architecture Performance ICML 2018
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration ICML 2018
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning CVPR 2018
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search IJCAI 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018
Predicting accuracy on large datasets from smaller pilot data ACL 2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NIPS 2018
BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Are GANs Created Equal? A Large-Scale Study NIPS 2018