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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

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Showing 751–800 of 2050 papers

TitleStatusHype
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks—0
Testing Firm ConductCode1
Understanding Best Subset Selection: A Tale of Two C(omplex)ities—0
ExcelFormer: A neural network surpassing GBDTs on tabular dataCode1
Guided Recommendation for Model Fine-Tuning—0
BiasBed - Rigorous Texture Bias EvaluationCode0
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countriesCode0
Online learning techniques for prediction of temporal tabular datasets with regime changesCode1
Bayesian Interpolation with Deep Linear Networks—0
Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection CriteriaCode0
Fast and fully-automated histograms for large-scale data sets—0
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks—0
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
Out-of-sample scoring and automatic selection of causal estimatorsCode2
On the Complexity of Representation Learning in Contextual Linear Bandits—0
Dominant Drivers of National Inflation—0
Optimal Model Selection in RDD and Related Settings Using Placebo Zones—0
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation—0
Stochastic Rising BanditsCode0
Designing Ecosystems of Intelligence from First Principles—0
Hierarchical Model Selection for Graph Neural Netoworks—0
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective—0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting—0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
The smooth output assumption, and why deep networks are better than wide ones—0
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
BiasBed -- Rigorous Texture Bias EvaluationCode0
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks—0
cegpy: Modelling with Chain Event Graphs in PythonCode1
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models—0
Exploring validation metrics for offline model-based optimisation with diffusion modelsCode0
Understanding the double descent curve in Machine Learning—0
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks—0
Execution-based Evaluation for Data Science Code Generation ModelsCode0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great BritainCode1
Robust Model Selection of Gaussian Graphical Models—0
MGTCOM: Community Detection in Multimodal GraphsCode0
Fairness and bias correction in machine learning for depression prediction: results from four study populationsCode0
Beyond Conjugacy for Chain Event Graph Model Selection—0
scikit-fda: A Python Package for Functional Data AnalysisCode2
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?—0
Data Models for Dataset Drift Controls in Machine Learning With Optical ImagesCode1
Toward Unsupervised Outlier Model SelectionCode1
Empirical Analysis of Model Selection for Heterogeneous Causal Effect EstimationCode1
Oracle Inequalities for Model Selection in Offline Reinforcement Learning—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
Differentiable Model Selection for Ensemble LearningCode0
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