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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 201–225 of 2050 papers

TitleStatusHype
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random ForestsCode1
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language ModelsCode1
Robust pricing and hedging via neural SDEsCode1
Deep Domain Confusion: Maximizing for Domain InvarianceCode1
Exploiting BERT for End-to-End Aspect-based Sentiment AnalysisCode1
Assumption-lean inference for generalised linear model parametersCode1
A stacked DCNN to predict the RUL of a turbofan engineCode1
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engineCode1
SePPO: Semi-Policy Preference Optimization for Diffusion AlignmentCode1
Simple data balancing achieves competitive worst-group-accuracyCode1
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models—0
A Case for Dataset Specific Profiling—0
A Work Zone Simulation Model for Travel Time Prediction in a Connected Vehicle Environment—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
A multi-stage machine learning model on diagnosis of esophageal manometry—0
Nonlinear Causal Discovery for Grouped Data—0
Bandit-Based Model Selection for Deformable Object Manipulation—0
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
Absolute convergence and error thresholds in non-active adaptive sampling—0
A Model Selection Approach for Corruption Robust Reinforcement Learning—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
Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis—0
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction—0
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