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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 251–275 of 2050 papers

TitleStatusHype
Towards Unsupervised Validation of Anomaly-Detection Models—0
Transformers4NewsRec: A Transformer-based News Recommendation Framework—0
ORSO: Accelerating Reward Design via Online Reward Selection and Policy OptimizationCode0
All models are wrong, some are useful: Model Selection with Limited LabelsCode0
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesCode0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
A Unified Approach to Routing and Cascading for LLMs—0
Impact of Missing Values in Machine Learning: A Comprehensive Analysis—0
Decision-Aware Predictive Model Selection for Workforce Allocation—0
Noether's razor: Learning Conserved QuantitiesCode1
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language ModelsCode0
Leveraging free energy in pretraining model selection for improved fine-tuning—0
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning—0
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
SePPO: Semi-Policy Preference Optimization for Diffusion AlignmentCode1
LLMProxy: Reducing Cost to Access Large Language Models—0
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling—0
MLP-KAN: Unifying Deep Representation and Function LearningCode0
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
On discretely structured growth models and their moments—0
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
Thermodynamic Bayesian Inference—0
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series ClassificationCode0
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries—0
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