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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 26–50 of 2050 papers

TitleStatusHype
Weighted Leave-One-Out Cross Validation—0
Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees—0
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter OptimizationCode0
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models—0
Towards more transferable adversarial attack in black-box manner—0
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm—0
Handling Symbolic Language in Student Texts: A Comparative Study of NLP Embedding Models—0
Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education—0
LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modelingCode0
Multi-Output Gaussian Processes for Graph-Structured DataCode0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One—0
Second-Order Convergence in Private Stochastic Non-Convex Optimization—0
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously ThoughtCode0
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster ManagementCode1
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals—0
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI—0
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization—0
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly DetectionCode2
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
High-Dimensional Dynamic Covariance Models with Random Forests—0
Zero-Shot Forecasting Mortality Rates: A Global Study—0
Exploring the Potential of SSL Models for Sound Event Detection—0
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