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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 901–950 of 2050 papers

TitleStatusHype
Understanding the double descent curve in Machine Learning—0
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks—0
Execution-based Evaluation for Data Science Code Generation ModelsCode0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
MGTCOM: Community Detection in Multimodal GraphsCode0
Fairness and bias correction in machine learning for depression prediction: results from four study populationsCode0
Robust Model Selection of Gaussian Graphical Models—0
Beyond Conjugacy for Chain Event Graph Model Selection—0
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?—0
Oracle Inequalities for Model Selection in Offline Reinforcement Learning—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
Differentiable Model Selection for Ensemble LearningCode0
Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach—0
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection—0
Which is the best model for my data?—0
Improving Group Lasso for high-dimensional categorical data—0
Post-Selection Confidence Bounds for Prediction PerformanceCode0
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal TransportCode0
Scalable Bayesian Transformed Gaussian Processes—0
Measures of Information Reflect Memorization Patterns—0
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data—0
LEATHER: A Framework for Learning to Generate Human-like Text in DialogueCode0
On the calibration of underrepresented classes in LiDAR-based semantic segmentation—0
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble LearningCode0
To tree or not to tree? Assessing the impact of smoothing the decision boundaries—0
Multi-View Independent Component Analysis with Shared and Individual Sources—0
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors—0
Detection and Evaluation of Clusters within Sequential Data—0
MEDFAIR: Benchmarking Fairness for Medical ImagingCode0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods—0
Factor-Augmented Regularized Model for Hazard Regression—0
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization—0
Feature-based model selection for object detection from point cloud data—0
A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves—0
Partial sequence labeling with structured Gaussian Processes—0
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs—0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G—0
Model Selection in High-Dimensional Block-Sparse Linear Regression—0
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development—0
A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation with Application to Bayesian Model Selection—0
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Impact of Loss Model Selection on Power Semiconductor Lifetime Prediction in Electric Vehicles—0
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space ModelsCode0
Pushing the limits of fairness impossibility: Who's the fairest of them all?—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection—0
Meta Learning for High-dimensional Ising Model Selection Using _1-regularized Logistic Regression—0
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data—0
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