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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1201–1250 of 2050 papers

TitleStatusHype
Fitting very flexible models: Linear regression with large numbers of parameters—0
Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling—0
General Hannan and Quinn Criterion for Common Time Series—0
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way—0
Can We Use Gradient Norm as a Measure of Generalization Error for Model Selection in Practice?—0
Continual Learning Without Knowing Task Identities: Rethinking Occam's Razor—0
Rethinking Parameter Counting: Effective Dimensionality Revisited—0
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models CascadeCode1
Explainable Multi-class Classification of Medical Data—0
Upper Confidence Bounds for Combining Stochastic Bandits—0
On Statistical Efficiency in LearningCode0
Leave Zero Out: Towards a No-Cross-Validation Approach for Model SelectionCode0
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL—0
Flexible, Non-parametric Modeling Using Regularized Neural NetworksCode0
Speech Enhancement with Zero-Shot Model SelectionCode0
Odd-One-Out Representation LearningCode0
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation—0
Smooth Bandit Optimization: Generalization to Hölder Space—0
Comparison of Anomaly Detectors: Context MattersCode0
Conjugate Mixture Models for Clustering Multimodal Data—0
Efficient model selection in switching linear dynamic systems by graph clustering—0
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy LabelsCode1
Online Model Selection: a Rested Bandit Formulation—0
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and L_0 RegularizationCode0
Machine learning with incomplete datasets using multi-objective optimization models—0
The temporal overfitting problem with applications in wind power curve modelingCode0
Task-Agnostic Amortized Inference of Gaussian Process HyperparametersCode1
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data—0
Proximity Operator of the Matrix Perspective Function and its Applications—0
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre studyCode0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
Physics-Informed Neural State Space Models via Learning and Evolution—0
Finding the Homology of Decision Boundaries with Active LearningCode0
Online Model Selection for Reinforcement Learning with Function Approximation—0
MOFA: Modular Factorial Design for Hyperparameter Optimization—0
A Survey and Implementation of Performance Metrics for Self-Organized MapsCode1
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodelCode0
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient—0
Nonparametric Variable Screening with Optimal Decision Stumps—0
Evaluating Word Embeddings on Low-Resource Languages—0
Estimation vs Metrics: is QE Useful for MT Model Selection?—0
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks—0
On the Impact of Communities on Semi-supervised Classification Using Graph Neural NetworksCode0
A Bayesian Perspective on Training Speed and Model Selection—0
Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19—0
Probing Task-Oriented Dialogue Representation from Language Models—0
Learning from missing data with the Latent Block Model—0
Spike and slab variational Bayes for high dimensional logistic regression—0
Model Selection for Signal Processing: a Minimum Error Approach and a General Performance Analysis—0
Model selection in reconciling hierarchical time seriesCode0
Show:102550
← PrevPage 25 of 41Next →

No leaderboard results yet.