:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tsigler, Alexander, Chamon, Luiz F. O., Frei, Spencer, Bartlett, Peter L.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2503.07966
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data
par: Frei, Spencer, et autres
Publié: (2022)

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
par: Frei, Spencer, et autres
Publié: (2024)

Benign Overfitting in Single-Head Attention
par: Magen, Roey, et autres
Publié: (2024)

Universality of Benign Overfitting in Binary Linear Classification
par: Hashimoto, Ichiro, et autres
Publié: (2025)

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
par: Kim, Yeichan, et autres
Publié: (2025)

Near-Optimal Solutions of Constrained Learning Problems
par: Elenter, Juan, et autres
Publié: (2024)

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
par: Zhou, Lijia, et autres
Publié: (2023)

Benign Overfitting for Regression with Trained Two-Layer ReLU Networks
par: Park, Junhyung, et autres
Publié: (2024)

Benign Overfitting with Quantum Kernels
par: Tomasi, Joachim, et autres
Publié: (2025)

Learning with Statistical Equality Constraints
par: Barthakur, Aneesh, et autres
Publié: (2025)

Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting
par: Li, Jiping, et autres
Publié: (2025)

Benign Overfitting in Token Selection of Attention Mechanism
par: Sakamoto, Keitaro, et autres
Publié: (2024)

Adaptive Symmetrization of the KL Divergence
par: Ben-Dov, Omri, et autres
Publié: (2025)

Solving Differential Equations with Constrained Learning
par: Moro, Viggo, et autres
Publié: (2024)

Beyond Benign Overfitting in Nadaraya-Watson Interpolators
par: Barzilai, Daniel, et autres
Publié: (2025)

Benign Overfitting in Adversarial Training for Vision Transformers
par: Zhang, Jiaming, et autres
Publié: (2026)

The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
par: Hao, Yifan, et autres
Publié: (2024)

Rethinking Benign Overfitting in Two-Layer Neural Networks
par: Xu, Ruichen, et autres
Publié: (2025)

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

Provable Weak-to-Strong Generalization via Benign Overfitting
par: Wu, David X., et autres
Publié: (2024)

Benign Overfitting in Out-of-Distribution Generalization of Linear Models
par: Tang, Shange, et autres
Publié: (2024)

Resilient Constrained Learning
par: Hounie, Ignacio, et autres
Publié: (2023)

Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
par: Zhu, Xiaohan, et autres
Publié: (2026)

Adjusted Overfitting Regression
par: Wilson, Dylan
Publié: (2024)

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting
par: Mallinar, Neil, et autres
Publié: (2022)

Learning (Approximately) Equivariant Networks via Constrained Optimization
par: Manolache, Andrei, et autres
Publié: (2025)

A Classical View on Benign Overfitting: The Role of Sample Size
par: Park, Junhyung, et autres
Publié: (2025)

Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions
par: Lu, Weihao, et autres
Publié: (2026)

Benign Overfitting in Time Series Linear Models with Over-Parameterization
par: Nakakita, Shogo, et autres
Publié: (2022)

From Tempered to Benign Overfitting in ReLU Neural Networks
par: Kornowski, Guy, et autres
Publié: (2023)

Constrained Sampling with Primal-Dual Langevin Monte Carlo
par: Chamon, Luiz F. O., et autres
Publié: (2024)

Understanding Generalization in Transformers: Error Bounds and Training Dynamics Under Benign and Harmful Overfitting
par: Zhang, Yingying, et autres
Publié: (2025)

Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials
par: Zilberstein, Nicolas, et autres
Publié: (2025)

Benign Overfitting under Learning Rate Conditions for $α$ Sub-exponential Input
par: Okudo, Kota, et autres
Publié: (2024)

Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
par: Jiang, Jiarui, et autres
Publié: (2024)

Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers
par: Shang, Shuning, et autres
Publié: (2024)

Improved Scaling Laws in Linear Regression via Data Reuse
par: Lin, Licong, et autres
Publié: (2025)

Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
par: Wu, Jingfeng, et autres
Publié: (2025)

Spectral-Transport Stability and Benign Overfitting in Interpolating Learning
par: Fredriksson-Imanov, Gustav Olaf Yunus Laitinen-Lundström
Publié: (2026)

Test Set Sizing for the Ridge Regression
par: Dubbs, Alexander
Publié: (2025)