SOTAVerified

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 651–700 of 2050 papers

TitleStatusHype
Automatic Dimension Selection for a Non-negative Factorization Approach to Clustering Multiple Random Graphs—0
Data-driven calibration of linear estimators with minimal penalties—0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands—0
Automatic Componentwise Boosting: An Interpretable AutoML System—0
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models—0
DataAssist: A Machine Learning Approach to Data Cleaning and Preparation—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Cross Validation Based Model Selection via Generalized Method of Moments—0
Automated Model Selection with Bayesian Quadrature—0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Automated Model Selection for Time-Series Anomaly Detection—0
A multi-stage machine learning model on diagnosis of esophageal manometry—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
A Case for Dataset Specific Profiling—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
CRIX an index for cryptocurrencies—0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
Automated Model Selection for Generalized Linear Models—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
Cost-Sensitive Learning for Predictive Maintenance—0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach—0
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
Cost-Effective Online Contextual Model Selection—0
Correcting Model Bias with Sparse Implicit Processes—0
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting—0
A Model Selection Approach for Corruption Robust Reinforcement Learning—0
Corpus-Based Paraphrase Detection Experiments and Review—0
Boosting with copula-based components—0
Convex Techniques for Model Selection—0
AutoAI-TS: AutoAI for Time Series Forecasting—0
A model selection approach for clustering a multinomial sequence with non-negative factorization—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
Absolute convergence and error thresholds in non-active adaptive sampling—0
Nonlinear Causal Discovery for Grouped Data—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
Continuous Bayesian Model Selection for Multivariate Causal Discovery—0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—0
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction—0
Continual Learning Without Knowing Task Identities: Rethinking Occam's Razor—0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing—0
A Unified Dynamic Approach to Sparse Model Selection—0
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks—0
A Unified Approach to Routing and Cascading for LLMs—0
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