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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 16511700 of 2050 papers

TitleStatusHype
Convex Covariate Clustering for ClassificationCode0
Automatic Gradient BoostingCode0
Effects of sampling skewness of the importance-weighted risk estimator on model selectionCode0
Unifying Summary Statistic Selection for Approximate Bayesian ComputationCode0
Bivariate Causal Discovery using Bayesian Model SelectionCode0
Minimum discrepancy principle strategy for choosing k in k-NN regressionCode0
Exploring Design Choices for Building Language-Specific LLMsCode0
Catastrophic forgetting: still a problem for DNNsCode0
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model SelectionCode0
We Need to Talk About train-dev-test SplitsCode0
Exploring Model Transferability through the Lens of Potential EnergyCode0
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss FunctionsCode0
Sacrificing information for the greater good: how to select photometric bands for optimal accuracyCode0
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical TextsCode0
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingCode0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language ModelsCode0
Extremely Greedy Equivalence SearchCode0
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question AnsweringCode0
TopicNet: Making Additive Regularisation for Topic Modelling AccessibleCode0
Structured model selection via _1-_2 optimizationCode0
MLP-KAN: Unifying Deep Representation and Function LearningCode0
Face Spoofing Detection using Deep LearningCode0
Context tree selection for functional dataCode0
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence ModelingCode0
mlr3summary: Concise and interpretable summaries for machine learning modelsCode0
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMsCode0
Model Assessment and Selection under Temporal Distribution ShiftCode0
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLPCode0
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of DocumentsCode0
Structured Variational Learning of Bayesian Neural Networks with Horseshoe PriorsCode0
Fairness and bias correction in machine learning for depression prediction: results from four study populationsCode0
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional DataCode0
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Entity Set Search of Scientific Literature: An Unsupervised Ranking ApproachCode0
Fast and Informative Model Selection using Learning Curve Cross-ValidationCode0
Automatic Catalog of RRLyrae from 14 million VVV Light Curves: How far can we go with traditional machine-learning?Code0
Adaptive multi-penalty regularization based on a generalized Lasso pathCode0
Model Evaluation, Model Selection, and Algorithm Selection in Machine LearningCode0
Fast Cross-Validation via Sequential TestingCode0
Fast Instrument Learning with Faster RatesCode0
Parameter identifiability and model selection for partial differential equation models of cell invasionCode0
Topological Data Analysis of Decision Boundaries with Application to Model SelectionCode0
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital TwinningCode0
Optimal design of experiments to identify latent behavioral typesCode0
PARAPHRASUS : A Comprehensive Benchmark for Evaluating Paraphrase Detection ModelsCode0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
Fast Unsupervised Deep Outlier Model Selection with HypernetworksCode0
pared: Model selection using multi-objective optimizationCode0
Pareto-optimal clustering with the primal deterministic information bottleneckCode0
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