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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 351–400 of 2050 papers

TitleStatusHype
Boosting with Structural Sparsity: A Differential Inclusion Approach—0
A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity—0
Boosting for Efficient Model Selection for Syntactic Parsing—0
Boosted Zero-Shot Learning with Semantic Correlation Regularization—0
A Base Model Selection Methodology for Efficient Fine-Tuning—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
Blockout: Dynamic Model Selection for Hierarchical Deep Networks—0
Bootstrap based asymptotic refinements for high-dimensional nonlinear models—0
Adversarial Negotiation Dynamics in Generative Language Models—0
Boxer: Interactive Comparison of Classifier Results—0
Blocked Clusterwise Regression—0
Breaking the bonds of weak coupling: the dynamic causal modelling of oscillator amplitudes—0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
Bridging AIC and BIC: a new criterion for autoregression—0
Bridging factor and sparse models—0
Bridging Information Criteria and Parameter Shrinkage for Model Selection—0
Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking—0
Block-diagonal covariance selection for high-dimensional Gaussian graphical models—0
Budgeted Online Model Selection and Fine-Tuning via Federated Learning—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—0
Comparison of model selection techniques for seafloor scattering statistics—0
Boldness-Recalibration for Binary Event Predictions—0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study—0
Competing Models—0
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness—0
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias—0
Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?—0
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts—0
Black-box Selective Inference via Bootstrapping—0
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews—0
Capitalizing on a Crisis: A Computational Analysis of all Five Million British Firms During the Covid-19 Pandemic—0
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
Carbon Intensity-Aware Adaptive Inference of DNNs—0
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach—0
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era—0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods—0
Cats & Co: Categorical Time Series Coclustering—0
Causal Covariate Shift Correction using Fisher information penalty—0
Causal Discovery in Hawkes Processes by Minimum Description Length—0
A Review of Cross-Sectional Matrix Exponential Spatial Models—0
Causal Falling Rule Lists—0
Causal Q-Aggregation for CATE Model Selection—0
Advancements in Natural Language Processing: Exploring Transformer-Based Architectures for Text Understanding—0
Bitcoin Forecasting Using ARIMA and PROPHET—0
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework—0
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor—0
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence—0
A Rule-Based Epidemiological Modelling Framework—0
Binary Matrix Factorization via Dictionary Learning—0
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