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Model Selection

Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.

Source: Kernel-based Information Criterion

Papers

Showing 11511200 of 2050 papers

TitleStatusHype
Federated Model Search via Reinforcement Learning0
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss FunctionsCode0
Model Selection for Generic Contextual Bandits0
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection0
Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies0
A multi-stage machine learning model on diagnosis of esophageal manometry0
Practical Transferability Estimation for Image Classification Tasks0
Towards Transferable Adversarial Perturbations with Minimum Norm0
Taming Nonconvexity in Kernel Feature Selection -- Favorable Properties of the Laplace Kernel0
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation0
Last Layer Marginal Likelihood for Invariance LearningCode0
Model Selection for Bayesian AutoencodersCode0
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective0
Time Series Anomaly Detection with label-free Model Selection0
Loss function based second-order Jensen inequality and its application to particle variational inference0
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing FlowsCode0
Feature and Parameter Selection in Stochastic Linear Bandits0
Bayesian Boosting for Linear Mixed Models0
On the Use of Minimum Penalties in Statistical Learning0
Towards a Theoretical Framework of Out-of-Distribution Generalization0
AI without networks0
Encoding-dependent generalization bounds for parametrized quantum circuits0
Neural Active Learning with Performance Guarantees0
Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models0
Network Estimation by Mixing: Adaptivity and More0
Robust Model Selection and Nearly-Proper Learning for GMMs0
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical TextsCode0
Morphological Segmentation for SenecaCode0
Corpus-Based Paraphrase Detection Experiments and Review0
Graph Similarity Description: How Are These Graphs Similar?0
Model Selection for Production System via Automated Online Experiments0
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile0
Vector autoregression models with skewness and heavy tails0
Informative Bayesian model selection for RR Lyrae star classifiers0
Hypothesis Testing for Equality of Latent Positions in Random Graphs0
Laplace Redux - Effortless Bayesian Deep Learning0
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy0
On-the-fly learning of adaptive strategies with bandit algorithms0
Towards Model Selection using Learning Curve Cross-ValidationCode0
Achieving Fairness with a Simple Ridge Penalty0
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection0
Model Selection CNN-based VVC QualityEnhancement0
Order flow in the financial markets from the perspective of the Fractional Lévy stable motion0
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation0
Synthetic Data for Model Selection0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
The Future of Employment Revisited: How Model Selection Determines Automation Forecasts0
SMLSOM: The shrinking maximum likelihood self-organizing mapCode0
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