hyperparameter optimization

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions ICLR 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Towards Automated Semi-Supervised Learning AAAI 2019 Towards modular and programmable architecture search NeurIPS 2019 A Boo(n) for Evaluating Architecture Performance ICML 2018 Are GANs Created Equal? A Large-Scale Study NeurIPS 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018 BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018 BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018 Efficient inference for time-varying behavior during learning NeurIPS 2018 Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks NeurIPS 2018 Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search IJCAI 2018 Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018 Hyperparameter optimization: a spectral approach ICLR 2018 Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning CVPR 2018 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration ICML 2018 Learning Diffusion using Hyperparameters ICML 2018 Online Learning Rate Adaptation with Hypergradient Descent ICLR 2018 Predicting accuracy on large datasets from smaller pilot data ACL 2018 Scalable Hyperparameter Transfer Learning NeurIPS 2018 Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization ACL 2018 The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018 EMNLP 2018