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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 376–400 of 2050 papers

TitleStatusHype
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context—0
Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants. Application to wastewater samples (ANRS0160)Code0
Private Selection with Heterogeneous Sensitivities—0
An Instrumental Variables Approach to Testing Firm Conduct—0
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective—0
MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining—0
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks—0
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework—0
Adversarial Negotiation Dynamics in Generative Language Models—0
Recommending Pre-Trained Models for IoT Devices—0
Structure Learning in Gaussian Graphical Models from Glauber Dynamics—0
Exploring Dynamic Novel View Synthesis Technologies for Cinematography—0
Know2Vec: A Black-Box Proxy for Neural Network RetrievalCode0
YOLOv11 Optimization for Efficient Resource UtilizationCode0
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research—0
Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities—0
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric PerspectiveCode0
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss—0
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection—0
Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy—0
Noncommutative Model Selection and the Data-Driven Estimation of Real Cohomology Groups—0
SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing—0
On the relative performance of some parametric and nonparametric estimators of option prices—0
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs—0
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score OptimizationCode0
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