Guardado en:
| Autores principales: | Varma, Kanumuri Nithin, Hassibi, Babak |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2506.17187 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Novel Gaussian Min-Max Theorem and its Applications
por: Akhtiamov, Danil, et al.
Publicado: (2024)
por: Akhtiamov, Danil, et al.
Publicado: (2024)
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
por: Akhtiamov, Danil, et al.
Publicado: (2026)
por: Akhtiamov, Danil, et al.
Publicado: (2026)
Universality in Transfer Learning for Linear Models
por: Ghane, Reza, et al.
Publicado: (2024)
por: Ghane, Reza, et al.
Publicado: (2024)
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization
por: Ghane, Reza, et al.
Publicado: (2024)
por: Ghane, Reza, et al.
Publicado: (2024)
Precise Performance of Linear Denoisers in the Proportional Regime
por: Ghane, Reza, et al.
Publicado: (2026)
por: Ghane, Reza, et al.
Publicado: (2026)
One-Bit Quantization for Random Features Models
por: Akhtiamov, Danil, et al.
Publicado: (2025)
por: Akhtiamov, Danil, et al.
Publicado: (2025)
Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime
por: Ghane, Reza, et al.
Publicado: (2026)
por: Ghane, Reza, et al.
Publicado: (2026)
Distributionally Robust K-Means Clustering
por: Malik, Vikrant, et al.
Publicado: (2026)
por: Malik, Vikrant, et al.
Publicado: (2026)
Learn to Change the World: Multi-level Reinforcement Learning with Model-Changing Actions
por: Lu, Ziqing, et al.
Publicado: (2025)
por: Lu, Ziqing, et al.
Publicado: (2025)
Gaussian Universality for Diffusion Models
por: Ghane, Reza, et al.
Publicado: (2025)
por: Ghane, Reza, et al.
Publicado: (2025)
Implicit Bias in Deep Linear Discriminant Analysis
por: Li, Jiawen
Publicado: (2026)
por: Li, Jiawen
Publicado: (2026)
Augmented Regression Models using Neurochaos Learning
por: Henry, Akhila, et al.
Publicado: (2025)
por: Henry, Akhila, et al.
Publicado: (2025)
Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
por: Liang, Shuang, et al.
Publicado: (2024)
por: Liang, Shuang, et al.
Publicado: (2024)
On the Role of Initialization on the Implicit Bias in Deep Linear Networks
por: Gruber, Oria, et al.
Publicado: (2024)
por: Gruber, Oria, et al.
Publicado: (2024)
Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization
por: Wu, Jingfeng, et al.
Publicado: (2025)
por: Wu, Jingfeng, et al.
Publicado: (2025)
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
por: Jung, Hyunji, et al.
Publicado: (2025)
por: Jung, Hyunji, et al.
Publicado: (2025)
Implicit Optimization Bias of Next-Token Prediction in Linear Models
por: Thrampoulidis, Christos
Publicado: (2024)
por: Thrampoulidis, Christos
Publicado: (2024)
High-Dimensional Private Linear Regression with Optimal Rates
por: Bombari, Simone, et al.
Publicado: (2025)
por: Bombari, Simone, et al.
Publicado: (2025)
The Implicit Bias of Logit Regularization
por: Beck, Alon, et al.
Publicado: (2026)
por: Beck, Alon, et al.
Publicado: (2026)
Sample-Efficient Linear Regression with Self-Selection Bias
por: Gaitonde, Jason, et al.
Publicado: (2024)
por: Gaitonde, Jason, et al.
Publicado: (2024)
Optimal Cross-Validation for Sparse Linear Regression
por: Cory-Wright, Ryan, et al.
Publicado: (2023)
por: Cory-Wright, Ryan, et al.
Publicado: (2023)
Optimal Rates in Continual Linear Regression via Increasing Regularization
por: Levinstein, Ran, et al.
Publicado: (2025)
por: Levinstein, Ran, et al.
Publicado: (2025)
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
por: Littwin, Etai, et al.
Publicado: (2024)
por: Littwin, Etai, et al.
Publicado: (2024)
Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime
por: Zhang, Peiyuan, et al.
Publicado: (2024)
por: Zhang, Peiyuan, et al.
Publicado: (2024)
The Implicit Bias of Adam on Separable Data
por: Zhang, Chenyang, et al.
Publicado: (2024)
por: Zhang, Chenyang, et al.
Publicado: (2024)
Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
por: Britos, Brian, et al.
Publicado: (2025)
por: Britos, Brian, et al.
Publicado: (2025)
Implicit Manifold Gaussian Process Regression
por: Fichera, Bernardo, et al.
Publicado: (2023)
por: Fichera, Bernardo, et al.
Publicado: (2023)
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
por: Liu, Yuanshi, et al.
Publicado: (2025)
por: Liu, Yuanshi, et al.
Publicado: (2025)
Optimal L2 Regularization in High-dimensional Continual Linear Regression
por: Karpel, Gilad, et al.
Publicado: (2026)
por: Karpel, Gilad, et al.
Publicado: (2026)
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
por: Liu, Jiading, et al.
Publicado: (2022)
por: Liu, Jiading, et al.
Publicado: (2022)
On the Implicit Bias of Adam
por: Cattaneo, Matias D., et al.
Publicado: (2023)
por: Cattaneo, Matias D., et al.
Publicado: (2023)
Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
por: Zuo, Yifei, et al.
Publicado: (2025)
por: Zuo, Yifei, et al.
Publicado: (2025)
Hyperbolic Aware Minimization: Implicit Bias for Sparsity
por: Jacobs, Tom, et al.
Publicado: (2025)
por: Jacobs, Tom, et al.
Publicado: (2025)
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
por: Huang, Xinmeng, et al.
Publicado: (2023)
por: Huang, Xinmeng, et al.
Publicado: (2023)
The Price of Implicit Bias in Adversarially Robust Generalization
por: Tsilivis, Nikolaos, et al.
Publicado: (2024)
por: Tsilivis, Nikolaos, et al.
Publicado: (2024)
Can Implicit Bias Imply Adversarial Robustness?
por: Min, Hancheng, et al.
Publicado: (2024)
por: Min, Hancheng, et al.
Publicado: (2024)
The Implicit Bias of Gradient Descent on Separable Data
por: Soudry, Daniel, et al.
Publicado: (2017)
por: Soudry, Daniel, et al.
Publicado: (2017)
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
por: Razin, Noam, et al.
Publicado: (2024)
por: Razin, Noam, et al.
Publicado: (2024)
Implicit Bias of the JKO Scheme
por: Halmos, Peter, et al.
Publicado: (2025)
por: Halmos, Peter, et al.
Publicado: (2025)
How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression?
por: Lai, Kuo-Wei, et al.
Publicado: (2026)
por: Lai, Kuo-Wei, et al.
Publicado: (2026)
Ejemplares similares
-
A Novel Gaussian Min-Max Theorem and its Applications
por: Akhtiamov, Danil, et al.
Publicado: (2024) -
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
por: Akhtiamov, Danil, et al.
Publicado: (2026) -
Universality in Transfer Learning for Linear Models
por: Ghane, Reza, et al.
Publicado: (2024) -
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization
por: Ghane, Reza, et al.
Publicado: (2024) -
Precise Performance of Linear Denoisers in the Proportional Regime
por: Ghane, Reza, et al.
Publicado: (2026)