Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1903.07571
Cited By
v1
v2 (latest)
Two models of double descent for weak features
SIAM Journal on Mathematics of Data Science (SIMODS), 2019
18 March 2019
M. Belkin
Daniel J. Hsu
Ji Xu
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Two models of double descent for weak features"
50 / 269 papers shown
Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
Xinliang Liu
Tong Mao
Jinchao Xu
166
0
0
04 Nov 2025
Memorizing Long-tail Data Can Help Generalization Through Composition
Mo Zhou
Haoyang Ma
Rong Ge
TDI
378
0
0
18 Oct 2025
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim
Ilmun Kim
Seyoung Park
179
0
0
17 Oct 2025
An entropy formula for the Deep Linear Network
Govind Menon
Tianmin Yu
150
2
0
11 Sep 2025
Learning from one graph: transductive learning guarantees via the geometry of small random worlds
Nils Detering
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
A. M. Neuman
168
2
0
08 Sep 2025
Eigenvalue distribution of the Neural Tangent Kernel in the quadratic scaling
Lucas Benigni
Elliot Paquette
96
2
0
27 Aug 2025
Convergence and Generalization of Anti-Regularization for Parametric Models
Dongseok Kim
Wonjun Jeong
Gisung Oh
230
0
0
24 Aug 2025
Generalisation and benign over-fitting for linear regression onto random functional covariates
Andrew Jones
Nick Whiteley
76
2
0
19 Aug 2025
A dynamic view of some anomalous phenomena in SGD
Vivek Shripad Borkar
395
0
0
03 May 2025
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks
Chenyang Zhang
Peifeng Gao
Difan Zou
Yuan Cao
OOD
MLT
382
0
0
11 Apr 2025
Markets for Models
ACM Conference on Economics and Computation (EC), 2025
Krishna Dasaratha
Juan Ortner
Chengyang Zhu
353
0
0
04 Mar 2025
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff
Hao Yu
Xiangyang Ji
AI4CE
220
0
0
03 Mar 2025
Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks
Rylan Schaeffer
Punit Singh Koura
Binh Tang
R. Subramanian
Aaditya K. Singh
...
Vedanuj Goswami
Sergey Edunov
Dieuwke Hupkes
Sanmi Koyejo
Sharan Narang
ALM
341
2
0
24 Feb 2025
Understanding Generalization in Transformers: Error Bounds and Training Dynamics Under Benign and Harmful Overfitting
Yingying Zhang
Zhikai Wu
Jian Li
Wenshu Fan
MLT
AI4CE
217
2
0
18 Feb 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
208
1
0
11 Feb 2025
Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
Letian Yang
Dennis Shen
129
1
0
10 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Mouin Ben Ammar
David Brellmann
Arturo Mendoza
Antoine Manzanera
Gianni Franchi
OODD
395
0
0
04 Nov 2024
On Goodhart's law, with an application to value alignment
El-Mahdi El-Mhamdi
Lê-Nguyên Hoang
153
5
0
12 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
Machine-mediated learning (ML), 2024
Ruikai Yang
Mingzhen He
Zhengbao He
Youmei Qiu
Xiaolin Huang
MU
BDL
318
2
0
11 Oct 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Qiang Hu
Hengxiang Zhang
Jianguo Huang
318
2
0
09 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting
International Conference on Learning Representations (ICLR), 2024
David X. Wu
A. Sahai
588
14
0
06 Oct 2024
Investigating the Impact of Model Complexity in Large Language Models
Jing Luo
Huiyuan Wang
Weiran Huang
217
0
0
01 Oct 2024
The poison of dimensionality
Lê-Nguyên Hoang
302
3
0
25 Sep 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Neural Information Processing Systems (NeurIPS), 2024
Marko Medvedev
Gal Vardi
Nathan Srebro
219
8
0
05 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Peizhong Ju
Haibo Yang
Jia Liu
Yingbin Liang
Ness B. Shroff
FedML
300
1
0
05 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
574
7
0
29 Aug 2024
Implicit Regularization Paths of Weighted Neural Representations
Neural Information Processing Systems (NeurIPS), 2024
Jin-Hong Du
Pratik Patil
240
0
0
28 Aug 2024
On the effect of noise on fitting linear regression models
Insha Ullah
A. H. Welsh
171
1
0
15 Aug 2024
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Huixin Zhang
Sean P. Cornelius
469
6
0
11 Jul 2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Rylan Schaeffer
Victor Lecomte
Dhruv Pai
Andres Carranza
Berivan Isik
...
Yann LeCun
SueYeon Chung
Andrey Gromov
Ravid Shwartz-Ziv
Sanmi Koyejo
269
9
0
13 Jun 2024
Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
Mihailo Stojnic
231
1
0
13 Jun 2024
Ridge interpolators in correlated factor regression models -- exact risk analysis
Mihailo Stojnic
201
1
0
13 Jun 2024
Class-wise Activation Unravelling the Engima of Deep Double Descent
Yufei Gu
138
0
0
13 May 2024
Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression
Karthik Duraisamy
MLT
284
4
0
03 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
440
2
0
18 Apr 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot
Issa-Mbenard Dabo
Camille Male
459
5
0
29 Mar 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization
Yifan Hao
Yong Lin
Difan Zou
Tong Zhang
OODD
OOD
239
6
0
26 Mar 2024
Understanding the Double Descent Phenomenon in Deep Learning
Marc Lafon
Alexandre Thomas
347
4
0
15 Mar 2024
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli
Saeid Rakhsha
Armin Sheidani
G. Stabile
G. Rozza
AI4CE
101
3
0
16 Feb 2024
One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression
Reza Ghane
D. Akhtiamov
Babak Hassibi
217
2
0
16 Feb 2024
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
Rodrigo Veiga
Anastasia Remizova
Nicolas Macris
259
1
0
12 Feb 2024
On Catastrophic Inheritance of Large Foundation Models
Hao Chen
Bhiksha Raj
Xing Xie
Yongfeng Zhang
AI4CE
294
14
0
02 Feb 2024
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
Yifan Hao
Tong Zhang
AAML
499
5
0
19 Jan 2024
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
Simon Segert
207
1
0
18 Nov 2023
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
Neural Information Processing Systems (NeurIPS), 2023
Jiyoung Park
Ian Pelakh
Stephan Wojtowytsch
215
1
0
10 Nov 2023
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
Yufei Gu
Xiaoqing Zheng
T. Aste
286
4
0
20 Oct 2023
Regularization properties of adversarially-trained linear regression
Neural Information Processing Systems (NeurIPS), 2023
Antônio H. Ribeiro
Dave Zachariah
Francis Bach
Thomas B. Schön
AAML
249
18
0
16 Oct 2023
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning
International Conference on Learning Representations (ICLR), 2023
Filip Szatkowski
Daniel LeJeune
397
11
0
06 Oct 2023
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
International Conference on Machine Learning (ICML), 2023
Xuran Meng
Difan Zou
Yuan Cao
MLT
259
10
0
03 Oct 2023
Universality of max-margin classifiers
Andrea Montanari
Feng Ruan
Basil Saeed
Youngtak Sohn
241
5
0
29 Sep 2023
1
2
3
4
5
6
Next
