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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 751–775 of 2050 papers

TitleStatusHype
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks—0
Testing Firm ConductCode1
Understanding Best Subset Selection: A Tale of Two C(omplex)ities—0
ExcelFormer: A neural network surpassing GBDTs on tabular dataCode1
Guided Recommendation for Model Fine-Tuning—0
BiasBed - Rigorous Texture Bias EvaluationCode0
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countriesCode0
Online learning techniques for prediction of temporal tabular datasets with regime changesCode1
Bayesian Interpolation with Deep Linear Networks—0
Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection CriteriaCode0
Fast and fully-automated histograms for large-scale data sets—0
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks—0
Out-of-sample scoring and automatic selection of causal estimatorsCode2
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
On the Complexity of Representation Learning in Contextual Linear Bandits—0
Dominant Drivers of National Inflation—0
Optimal Model Selection in RDD and Related Settings Using Placebo Zones—0
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation—0
Stochastic Rising BanditsCode0
Designing Ecosystems of Intelligence from First Principles—0
Hierarchical Model Selection for Graph Neural Netoworks—0
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective—0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting—0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
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