Image de couverture de livre

Simulating classification models to evaluate Predict-Then-Optimize methods

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Smet, Pieter
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prediction accuracy versus rescheduling flexibility in elective surgery management
par: Smet, Pieter, et autres
Publié: (2025)

Multiclass threshold-based classification and model evaluation
par: Legnaro, Edoardo, et autres
Publié: (2025)

Robust personnel rostering: how accurate should absenteeism predictions be?
par: Doneda, Martina, et autres
Publié: (2024)

A metrological framework for uncertainty evaluation in machine learning classification models
par: Bilson, Samuel, et autres
Publié: (2025)

No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
par: Legast, Magali, et autres
Publié: (2026)

A model-free subdata selection method for classification
par: Singh, Rakhi
Publié: (2024)

Hierarchical confusion matrix for classification performance evaluation
par: Riehl, Kevin, et autres
Publié: (2023)

Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluation
par: Brown, David H., et autres
Publié: (2024)

Contextual Strongly Convex Simulation Optimization: Optimize then Predict with Inexact Solutions
par: Lin, Nifei, et autres
Publié: (2025)

A unified weighting framework for evaluating nearest neighbour classification
par: Lenz, Oliver Urs, et autres
Publié: (2023)

Boosting methods for interval-censored data with regression and classification
par: Bian, Yuan, et autres
Publié: (2026)

Causal methods for LLM development and evaluation
par: Frauen, Dennis, et autres
Publié: (2026)

What Really Matters in Matrix-Whitening Optimizers?
par: Frans, Kevin, et autres
Publié: (2025)

A method for classification of data with uncertainty using hypothesis testing
par: Yokura, Shoma, et autres
Publié: (2025)

Text classification using machine learning methods
par: Oancea, Bogdan
Publié: (2025)

A Stable Whitening Optimizer for Efficient Neural Network Training
par: Frans, Kevin, et autres
Publié: (2025)

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation
par: Simon, Raphael, et autres
Publié: (2025)

Bake off redux: a review and experimental evaluation of recent time series classification algorithms
par: Middlehurst, Matthew, et autres
Publié: (2023)

Challenges in the calibration of tree-based models for imbalanced classification
par: Phelps, Nathan, et autres
Publié: (2024)

Black-box model classification under the discriminative factorization
par: Helm, Hayden, et autres
Publié: (2026)

Relational Neurosymbolic Markov Models
par: De Smet, Lennert, et autres
Publié: (2024)

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
par: Verreet, Victor, et autres
Publié: (2024)

Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
par: Grefsrud, Aurora, et autres
Publié: (2025)

Simulation Based Bayesian Optimization
par: Naveiro, Roi, et autres
Publié: (2024)

Meshless method stencil evaluation with machine learning
par: Rot, Miha, et autres
Publié: (2022)

Cliqueformer: Model-Based Optimization with Structured Transformers
par: Kuba, Jakub Grudzien, et autres
Publié: (2024)

A classification model based on a population of hypergraphs
par: Barton, Samuel, et autres
Publié: (2024)

Maritime object classification with SAR imagery using quantum kernel methods
par: Tanner, John, et autres
Publié: (2025)

Mutual-energy inner product optimization method for constructing feature coordinates and image classification in Machine Learning
par: Wang, Yuanxiu
Publié: (2024)

FRQI Pairs method for image classification using Quantum Recurrent Neural Network
par: Potempa, Rafał, et autres
Publié: (2025)

A clean-label graph backdoor attack method in node classification task
par: Xing, Xiaogang, et autres
Publié: (2023)

How to Approximate Inference with Subtractive Mixture Models
par: Zellinger, Lena, et autres
Publié: (2026)

AudioProtoPNet: An interpretable deep learning model for bird sound classification
par: Heinrich, René, et autres
Publié: (2024)

Value-Based Deep RL Scales Predictably
par: Rybkin, Oleh, et autres
Publié: (2025)

Adaptive Simulation Experiment for LLM Policy Optimization
par: Hu, Mingjie, et autres
Publié: (2026)

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
par: Chang, Paul E., et autres
Publié: (2024)

Singleton-Optimized Conformal Prediction
par: Wang, Tao, et autres
Publié: (2025)

Seismic event classification with a lightweight Fourier Neural Operator model
par: Abdullin, Ayrat, et autres
Publié: (2025)

Boosting classification reliability of NLP transformer models in the long run
par: Kmetty, Zoltán, et autres
Publié: (2023)

Robust support vector model based on bounded asymmetric elastic net loss for binary classification
par: Du, Haiyan, et autres
Publié: (2026)