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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 351–400 of 2050 papers

TitleStatusHype
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
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question AnsweringCode0
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient EvaluationCode0
GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnaceCode0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
GeMID: Generalizable Models for IoT Device IdentificationCode0
Face Spoofing Detection using Deep LearningCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
A novel algebraic approach to time-reversible evolutionary modelsCode0
Approximate Cross-validation: Guarantees for Model Assessment and SelectionCode0
Extremely Greedy Equivalence SearchCode0
Graphical posterior predictive classifier: Bayesian model averaging with particle GibbsCode0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
Have I done enough planning or should I plan more?Code0
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence ModelingCode0
Fast and Informative Model Selection using Learning Curve Cross-ValidationCode0
Flexible, Non-parametric Modeling Using Regularized Neural NetworksCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome DataCode0
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing FlowsCode0
Exploring Design Choices for Building Language-Specific LLMsCode0
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge DistillationCode0
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source LayoutCode0
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsCode0
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model SelectionCode0
Deep Learning in a Generalized HJM-type Framework Through Arbitrage-Free RegularizationCode0
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingCode0
ARDA: Automatic Relational Data Augmentation for Machine LearningCode0
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning AlgorithmsCode0
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts modelsCode0
A Deep Learning Method for Comparing Bayesian Hierarchical ModelsCode0
Evaluation of HTR models without Ground Truth MaterialCode0
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmarkCode0
Catastrophic forgetting: still a problem for DNNsCode0
Individualized Prediction of COVID-19 Adverse outcomes with MLHOCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Inferring Convolutional Neural Networks' accuracies from their architectural characterizationsCode0
Execution-based Evaluation for Data Science Code Generation ModelsCode0
Exploring Model Transferability through the Lens of Potential EnergyCode0
Best Arm Identification for Stochastic Rising BanditsCode0
Model selection for contextual banditsCode0
An Offline Metric for the Debiasedness of Click ModelsCode0
Evaluating Large Language Models as Generative User Simulators for Conversational RecommendationCode0
Evaluating LLP Methods: Challenges and ApproachesCode0
Evaluation of dynamic causal modelling and Bayesian model selection using simulations of networks of spiking neuronsCode0
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical TextsCode0
Improved Group Robustness via Classifier Retraining on Independent SplitsCode0
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