conftrace_

hyperparameter tuning

215 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) model selection (456) neural network optimization (1293) regret bound (1926) text classification (6793) transfer learning (5449) acquisition function (129) large language model (13587)

Papers

Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Tunability: Importance of Hyperparameters of Machine Learning Algorithms JMLR 2019
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI AISTATS 2019
Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set IJCNLP 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
Hyper-parameter Tuning under a Budget Constraint IJCAI 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NIPS 2019
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation ICML 2019
Towards Automated Single Channel Source Separation Using Neural Networks INTERSPEECH 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport NIPS 2018
Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity SEMEVAL 2017
Bayesian Supervised Hashing CVPR 2017
A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017
Learning to Learn without Gradient Descent by Gradient Descent ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
Process-constrained batch Bayesian optimisation NIPS 2017