Imagen de Portada

Adjusted Overfitting Regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Wilson, Dylan
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
por: Cheng, Tin Sum, et al.
Publicado: (2024)

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
por: Zhou, Lijia, et al.
Publicado: (2023)

Covariance-Driven Regression Trees: Reducing Overfitting in CART
por: Zhang, Likun, et al.
Publicado: (2026)

Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification
por: Tsigler, Alexander, et al.
Publicado: (2025)

Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
por: Medvedev, Marko, et al.
Publicado: (2024)

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
por: Kim, Yeichan, et al.
Publicado: (2025)

Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization
por: de Franca, Fabricio Olivetti
Publicado: (2025)

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator
por: Bigarella, Enda D. V.
Publicado: (2025)

Benign Overfitting for Regression with Trained Two-Layer ReLU Networks
por: Park, Junhyung, et al.
Publicado: (2024)

Adjusting Regression Models for Conditional Uncertainty Calibration
por: Gao, Ruijiang, et al.
Publicado: (2024)

Testing for Overfitting
por: Schmidt, James
Publicado: (2023)

Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting
por: Li, Jiping, et al.
Publicado: (2025)

Overfitting In Contrastive Learning?
por: Rabin, Zachary, et al.
Publicado: (2024)

LLM Tree Search
por: Wilson, Dylan
Publicado: (2024)

Harmful Overfitting in Sobolev Spaces
por: Karhadkar, Kedar, et al.
Publicado: (2026)

Countering Overfitting with Counterfactual Examples
por: Giorgi, Flavio, et al.
Publicado: (2025)

PINNs Failure Modes are Overfitting
por: Andersen, Nigel T., et al.
Publicado: (2026)

Control of Overfitting with Physics
por: Kozyrev, Sergei V., et al.
Publicado: (2024)

Benign Overfitting in Single-Head Attention
por: Magen, Roey, et al.
Publicado: (2024)

Relative Overfitting and Accept-Reject Framework
por: Liu, Yanxin, et al.
Publicado: (2025)

Interval Regression: A Comparative Study with Proposed Models
por: Nguyen, Tung L, et al.
Publicado: (2025)

Benign Overfitting with Quantum Kernels
por: Tomasi, Joachim, et al.
Publicado: (2025)

Overfitting in Adaptive Robust Optimization
por: Zhu, Karl, et al.
Publicado: (2025)

Benign Overfitting in Token Selection of Attention Mechanism
por: Sakamoto, Keitaro, et al.
Publicado: (2024)

On Local Overfitting and Forgetting in Deep Neural Networks
por: Stern, Uri, et al.
Publicado: (2024)

Provable Weak-to-Strong Generalization via Benign Overfitting
por: Wu, David X., et al.
Publicado: (2024)

Benign Overfitting in Out-of-Distribution Generalization of Linear Models
por: Tang, Shange, et al.
Publicado: (2024)

Provable Tempered Overfitting of Minimal Nets and Typical Nets
por: Harel, Itamar, et al.
Publicado: (2024)

Negotiated Representations to Prevent Overfitting in Machine Learning Applications
por: Korhan, Nuri, et al.
Publicado: (2023)

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
por: Lin, Runqi, et al.
Publicado: (2023)

Malign Overfitting: Interpolation Can Provably Preclude Invariance
por: Wald, Yoav, et al.
Publicado: (2022)

Rethinking Benign Overfitting in Two-Layer Neural Networks
por: Xu, Ruichen, et al.
Publicado: (2025)

Benign Overfitting in Linear Classifiers with a Bias Term
por: Kondo, Yuta
Publicado: (2025)

Understanding Robust Overfitting from the Feature Generalization Perspective
por: Yu, Chaojian, et al.
Publicado: (2023)

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
por: Liu, Chen, et al.
Publicado: (2021)

Membership Inference Attacks Beyond Overfitting
por: Khalil, Mona, et al.
Publicado: (2025)

Investigating Test Overfitting on SWE-bench
por: Ahmed, Toufique, et al.
Publicado: (2025)

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
por: Frei, Spencer, et al.
Publicado: (2024)

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
por: Lin, Runqi, et al.
Publicado: (2024)

Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
por: Zhu, Xiaohan, et al.
Publicado: (2026)