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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 801–825 of 2050 papers

TitleStatusHype
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks—0
Learning Relevant Contextual Variables Within Bayesian OptimizationCode0
Clustering Indices based Automatic Classification Model SelectionCode0
Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery—0
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model—0
Ranking & Reweighting Improves Group Distributional Robustness—0
Boldness-Recalibration for Binary Event Predictions—0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
Strengthening structural baselines for graph classification using Local Topological ProfileCode0
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces—0
Limits of Model Selection under Transfer Learning—0
ALMERIA: Boosting pairwise molecular contrasts with scalable methods—0
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits—0
Sparse Private LASSO Logistic Regression—0
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs—0
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022—0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
Efficient Deep Reinforcement Learning Requires Regulating Overfitting—0
An Offline Metric for the Debiasedness of Click ModelsCode0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Modeling Transient Changes in Circadian Rhythms—0
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges—0
Priors for symbolic regressionCode0
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