Image de couverture de livre

Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, David X., Sahai, Anant
Format:	Preprint
Publié:	2023
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

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

Synthetic Error Injection Fails to Elicit Self-Correction In Language Models
par: Wu, David X., et autres
Publié: (2025)

Task Shift: From Classification to Regression in Overparameterized Linear Models
par: LaBonte, Tyler, et autres
Publié: (2025)

Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
par: Diakonikolas, Ilias, et autres
Publié: (2025)

Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
par: Cayci, Semih
Publié: (2025)

One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization
par: Ghane, Reza, et autres
Publié: (2024)

Overparameterized Multiple Linear Regression as Hyper-Curve Fitting
par: Atza, E., et autres
Publié: (2024)

Analysis of Overparameterization in Continual Learning under a Linear Model
par: Goldfarb, Daniel, et autres
Publié: (2025)

Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
par: Zhang, Yihan, et autres
Publié: (2022)

The Thermodynamic Costs of Simple Linear Regression
par: D'Ambrosia, Samuel H., et autres
Publié: (2026)

Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization
par: Zhang, Yaoyu, et autres
Publié: (2024)

Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
par: Schliserman, Matan, et autres
Publié: (2025)

Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
par: Zhang, Ruijia, et autres
Publié: (2025)

Unified Binary and Multiclass Margin-Based Classification
par: Wang, Yutong, et autres
Publié: (2023)

Beyond Bandit Feedback in Online Multiclass Classification
par: van der Hoeven, Dirk, et autres
Publié: (2021)

The Interpolating Information Criterion for Overparameterized Models
par: Hodgkinson, Liam, et autres
Publié: (2023)

Asymptotic Smoothing of the Lipschitz Loss Landscape in Overparameterized One-Hidden-Layer ReLU Networks
par: Baturin, Saveliy
Publié: (2026)

Provable Generalization in Overparameterized Neural Nets
par: Dhingra, Aviral
Publié: (2025)

Comparing Multiclass Classification Algorithms for Financial Distress Prediction
par: Zambare, Noopur, et autres
Publié: (2023)

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
par: Erba, Vittorio, et autres
Publié: (2025)

Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
par: Filmus, Yuval, et autres
Publié: (2024)

Lower Bounds on Adversarial Robustness for Multiclass Classification with General Loss Functions
par: Trillos, Camilo Andrés García, et autres
Publié: (2025)

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
par: Zhang, Zixuan, et autres
Publié: (2023)

Efficient and Noise-Tolerant PAC Learning of Multiclass Linear Classifiers
par: Adhikari, Rita, et autres
Publié: (2026)

Understanding Aggregations of Proper Learners in Multiclass Classification
par: Asilis, Julian, et autres
Publié: (2024)

The Real Price of Bandit Information in Multiclass Classification
par: Erez, Liad, et autres
Publié: (2024)

Fast Rates for Bandit PAC Multiclass Classification
par: Erez, Liad, et autres
Publié: (2024)

Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing
par: Boharon, Daniel, et autres
Publié: (2026)

Decomposing Prediction Mechanisms for In-Context Recall
par: Daniels, Sultan, et autres
Publié: (2025)

An Analytical Model for Overparameterized Learning Under Class Imbalance
par: Mor, Eliav, et autres
Publié: (2025)

Implicit Regularization and Generalization in Overparameterized Neural Networks
par: Johannsen, Zeran
Publié: (2026)

Empirical Study of Observable Sets in Multiclass Quantum Classification
par: Sebastian, Paul San, et autres
Publié: (2026)

Hybrid Quantum-Classical Learning for Multiclass Image Classification
par: Anwar, Shuchismita, et autres
Publié: (2025)

Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back
par: Cohen, Alon, et autres
Publié: (2025)

Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
par: Wu, Jingfeng, et autres
Publié: (2025)

Theoretical Limitations of Ensembles in the Age of Overparameterization
par: Dern, Niclas, et autres
Publié: (2024)

How Does Overparameterization Affect Features?
par: Duzgun, Ahmet Cagri, et autres
Publié: (2024)

Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
par: Byun, Min Sik, et autres
Publié: (2025)

Privacy for Free in the Overparameterized Regime
par: Bombari, Simone, et autres
Publié: (2024)

Machine Unlearning under Overparameterization
par: Block, Jacob L., et autres
Publié: (2025)