model selection

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020 The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020 Tuning Causal Discovery Algorithms PGM 2020 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NeurIPS 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Best of many worlds: Robust model selection for online supervised learning AISTATS 2019 Cold Case: The Lost MNIST Digits NeurIPS 2019 Complete Search for Feature Selection in Decision Trees JMLR 2019 Deep Elastic Networks With Model Selection for Multi-Task Learning ICCV 2019 Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage CVPR 2019 Improving Model Selection by Employing the Test Data ICML 2019 Model Selection for Contextual Bandits NeurIPS 2019 Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019 Model Selection via the VC Dimension JMLR 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning CVPR 2019 Show Your Work: Improved Reporting of Experimental Results EMNLP 2019 Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric Interspeech 2019 Topological Data Analysis of Decision Boundaries with Application to Model Selection ICML 2019