Co-occurring keywords · papers mentioning both
Papers
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
AISTATS 2023
On the bias of K-fold cross validation with stable learners
AISTATS 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
NeurIPS 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
NeurIPS 2023
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
EMNLP 2023
Revisiting Bellman Errors for Offline Model Selection
ICML 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
ICLR 2023
Synthetic data for model selection
ICML 2023
The Lauritzen-Chen Likelihood For Graphical Models
AISTATS 2023
The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models
ACL 2023
Towards Inference Efficient Deep Ensemble Learning
AAAI 2023
Towards Optimal Caching and Model Selection for Large Model Inference
NeurIPS 2023
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
ICML 2023
Where to start? Analyzing the potential value of intermediate models
EMNLP 2023
abess: A Fast Best-Subset Selection Library in Python and R
JMLR 2022
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
WACV 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NeurIPS 2022
A Model Selection Approach for Corruption Robust Reinforcement Learning
ALT 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
AAAI 2022
A Statistical Approach for Optimal Topic Model Identification
JMLR 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
NeurIPS 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
ICML 2022
Best of Both Worlds Model Selection
NeurIPS 2022
Differentially Private Generalized Linear Models Revisited
NeurIPS 2022