model selection

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation ICML 2019 Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction ACL 2019 A Boo(n) for Evaluating Architecture Performance ICML 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018 BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018 Fast Cross-Validation IJCAI 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Learning to Multitask NeurIPS 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018 Parsimonious Bayesian deep networks NeurIPS 2018 Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018 Sparse Estimation in Ising Model via Penalized Monte Carlo Methods JMLR 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 The Well-Tempered Lasso ICML 2018 Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models COLING 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Adaptive Neural Networks for Efficient Inference ICML 2017 A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017