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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

Showing 676700 of 2050 papers

TitleStatusHype
DiffusionGPT: LLM-Driven Text-to-Image Generation System0
Entropy-based Characterization of Modeling Constraints0
Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-190
Bayesian leave-one-out cross-validation for large data0
Episodic memory for continual model learning0
Selective machine learning of doubly robust functionals0
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT0
ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss0
Error Reduction from Stacked Regressions0
Bayesian Learning with Wasserstein Barycenters0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks0
Adaptive Sequential Machine Learning0
Estimating Optimal Policy Value in General Linear Contextual Bandits0
Estimating Real Log Canonical Thresholds0
Estimating Stable Fixed Points and Langevin Potentials for Financial Dynamics0
Achieving Fairness with a Simple Ridge Penalty0
Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity0
Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach0
Estimation of Local Average Treatment Effect by Data Combination0
Estimation vs Metrics: is QE Useful for MT Model Selection?0
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting0
Differentially Private Learning with Margin Guarantees0
How have German University Tuition Fees Affected Enrollment Rates: Robust Model Selection and Design-based Inference in High-Dimensions0
Evaluating Gender Bias in Large Language Models0
Differentially Private Generalized Linear Models Revisited0
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