Imagen de Portada

Beyond the Norms: Detecting Prediction Errors in Regression Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Altieri, Andres, Romanelli, Marco, Pichler, Georg, Alberge, Florence, Piantanida, Pablo
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
por: Dadalto, Eduardo, et al.
Publicado: (2024)

Happiness as a Measure of Fairness
por: Pichler, Georg, et al.
Publicado: (2025)

Optimal Zero-Shot Detector for Multi-Armed Attacks
por: Granese, Federica, et al.
Publicado: (2024)

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
por: Dadalto, Eduardo, et al.
Publicado: (2023)

On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
por: Pichler, Georg, et al.
Publicado: (2024)

Fundamental Limits of Membership Inference Attacks on Machine Learning Models
por: Aubinais, Eric, et al.
Publicado: (2023)

MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models
por: Formont, Philippe, et al.
Publicado: (2026)

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
por: Alberge, Julie, et al.
Publicado: (2024)

A Strong Baseline for Molecular Few-Shot Learning
por: Formont, Philippe, et al.
Publicado: (2024)

When is an Embedding Model More Promising than Another?
por: Darrin, Maxime, et al.
Publicado: (2024)

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems
por: Estienne, Lautaro, et al.
Publicado: (2026)

Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning
por: Sun, Jianwen, et al.
Publicado: (2026)

Grokking Beyond the Euclidean Norm of Model Parameters
por: Notsawo, Pascal Jr Tikeng, et al.
Publicado: (2025)

The Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization
por: Kravatskiy, Alexey, et al.
Publicado: (2025)

Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
por: Regol, Florence, et al.
Publicado: (2024)

Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression
por: Chen, Donghe, et al.
Publicado: (2025)

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
por: Peng, Bo, et al.
Publicado: (2024)

Norm Anchors Make Model Edits Last
por: Liu, Mingda, et al.
Publicado: (2026)

Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
por: van Nieuwkoop, Gijs, et al.
Publicado: (2026)

Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression
por: Mohammadi-Seif, Abolfazl, et al.
Publicado: (2026)

Towards Error Centric Intelligence I, Beyond Observational Learning
por: Thomas, Marcus A.
Publicado: (2025)

Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
por: Shahrokhi, Hooman, et al.
Publicado: (2025)

Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
por: She, Jialai
Publicado: (2025)

From Projection to Prediction: Beyond Logits for Scalable Language Models
por: Dong, Jianbing, et al.
Publicado: (2025)

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
por: Zhu, Jinhua, et al.
Publicado: (2024)

Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
por: Cao, Tianxiao, et al.
Publicado: (2025)

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
por: Feng, Wanjin, et al.
Publicado: (2025)

Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
por: Landsgesell, Jonas, et al.
Publicado: (2026)

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
por: Chowdhury, Animesh Basak, et al.
Publicado: (2024)

Post-Norm can Resharpen Attention
por: Zsámboki, Pál, et al.
Publicado: (2025)

Optimal Scaling Needs Optimal Norm
por: Filatov, Oleg, et al.
Publicado: (2025)

GradientStabilizer:Fix the Norm, Not the Gradient
por: Huang, Tianjin, et al.
Publicado: (2025)

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
por: Hu, Rui, et al.
Publicado: (2024)

Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
por: Choi, Haemin, et al.
Publicado: (2025)

Improving Label Error Detection and Elimination with Uncertainty Quantification
por: Jakubik, Johannes, et al.
Publicado: (2024)

DeepMachining: Online Prediction of Machining Errors of Lathe Machines
por: Lu, Xiang-Li, et al.
Publicado: (2024)

Curiosity-Critic: Cumulative Prediction Error Improvement as a Tractable Intrinsic Reward for World Model Training
por: Bhaskara, Vin, et al.
Publicado: (2026)

Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning
por: Chen, Ming, et al.
Publicado: (2025)

Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance
por: Cao, Dingding, et al.
Publicado: (2026)

Low-rank finetuning for LLMs: A fairness perspective
por: Das, Saswat, et al.
Publicado: (2024)