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hyperparameter optimization

457 papers

HO

Papers

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020 The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task AACL 2020 The Statistical Cost of Robust Kernel Hyperparameter Turning NeurIPS 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020 You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings ICLR 2020 A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019 Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019 AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text ACL 2019 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019 CNN-LSTM Models for Multi-Speaker Source Separation Using Bayesian Hyper Parameter Optimization Interspeech 2019 Combinatorial Bayesian Optimization using the Graph Cartesian Product NeurIPS 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 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 Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NeurIPS 2019 Meta Architecture Search NeurIPS 2019 Meta Learning for Hyperparameter Optimization in Dialogue System Interspeech 2019 Meta-Surrogate Benchmarking for Hyperparameter Optimization NeurIPS 2019 Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NeurIPS 2019 Random Search and Reproducibility for Neural Architecture Search UAI 2019