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model selection

454 papers

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Also known as

FMS

Co-occurring keywords

transfer learning (5442) bayesian inference (1904) hyperparameter optimization (405) large language model (12755) kernel methods (1096) regret bound (1918) online learning (1770) support vector machine (976) feature selection (649) benchmark evaluation (1539)

Papers

FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 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
Best of many worlds: Robust model selection for online supervised learning AISTATS 2019
A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning CVPR 2019
Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019
Model Selection for Contextual Bandits NIPS 2019
Cold Case: The Lost MNIST Digits NIPS 2019
Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018
Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018
A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models COLING 2018
A Boo(n) for Evaluating Architecture Performance ICML 2018
The Well-Tempered Lasso ICML 2018
Learning to Multitask NIPS 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018
Sparse Estimation in Ising Model via Penalized Monte Carlo Methods JMLR 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Fast Cross-Validation IJCAI 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018
Parsimonious Bayesian deep networks NIPS 2018
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017