hyperparameter tuning

Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018 A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017 Bayesian Supervised Hashing CVPR 2017 Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 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 NeurIPS 2017 UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity SemEval 2017 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016 mlr: Machine Learning in R JMLR 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 Unbounded Bayesian Optimization via Regularization AISTATS 2016 Differentially Private Bayesian Optimization ICML 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Bayesian Optimization with Inequality Constraints ICML 2014 Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014 Collaborative hyperparameter tuning ICML 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 The Entire Regularization Path for the Support Vector Machine JMLR 2004