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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 501–525 of 2050 papers

TitleStatusHype
DAGGER: A sequential algorithm for FDR control on DAGsCode0
Automatic Catalog of RRLyrae from 14 million VVV Light Curves: How far can we go with traditional machine-learning?Code0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model SelectionCode0
Evaluation of HTR models without Ground Truth MaterialCode0
Data-driven discovery of PDEs in complex datasetsCode0
Adaptive Concentration of Regression Trees, with Application to Random ForestsCode0
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity ModelsCode0
Separating common (global and local) and distinct variation in multiple mixed types data setsCode0
Adaptive spline fitting with particle swarm optimizationCode0
Evaluation of dynamic causal modelling and Bayesian model selection using simulations of networks of spiking neuronsCode0
Exploring Model Transferability through the Lens of Potential EnergyCode0
Evaluating LLP Methods: Challenges and ApproachesCode0
Evaluating Large Language Models as Generative User Simulators for Conversational RecommendationCode0
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced ClassificationCode0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized LearningCode0
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and CostCode0
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a ReviewCode0
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical TextsCode0
Adaptive multi-penalty regularization based on a generalized Lasso pathCode0
Differentiable Model Selection for Ensemble LearningCode0
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya UrnsCode0
Hybrid safe-strong rules for efficient optimization in lasso-type problemsCode0
Effects of sampling skewness of the importance-weighted risk estimator on model selectionCode0
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