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Reconciling modern machine learning practice and the bias-variance trade-off
28 December 2018
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
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Papers citing
"Reconciling modern machine learning practice and the bias-variance trade-off"
50 / 945 papers shown
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
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Mikhail Belkin
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455
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Analysis of the expected
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L_2
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2
error of an over-parametrized deep neural network estimate learned by gradient descent without regularization
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Michael Kohler
190
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24 Nov 2023
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation
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A. Raulf
Christoph Räth
461
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23 Nov 2023
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su
Wenlong Mou
Peng Ding
Martin J. Wainwright
179
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16 Nov 2023
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
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Sebastian Flassbeck
Jakob Assländer
171
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13 Nov 2023
A PAC-Bayesian Perspective on the Interpolating Information Criterion
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Christopher van der Heide
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Fred Roosta
Michael W. Mahoney
275
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13 Nov 2023
Unified machine learning tasks and datasets for enhancing renewable energy
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Thomas Rigoni
Francesco di Stefano
Anthony Patt
197
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12 Nov 2023
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
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Jiyoung Park
Ian Pelakh
Stephan Wojtowytsch
215
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10 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
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Eric V. Strobl
William W Stead
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08 Nov 2023
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
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Andrej Risteski
270
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AdaFlood: Adaptive Flood Regularization
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Mohamad Osama Ahmed
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Danica J. Sutherland
Gabriel L. Oliveira
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202
3
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06 Nov 2023
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William Enck
Bradley Reaves
148
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Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
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Abhishek Sinha
Rahul Vaze
200
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29 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Neural Information Processing Systems (NeurIPS), 2023
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
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482
21
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28 Oct 2023
Boosting Generalization with Adaptive Style Techniques for Fingerprint Liveness Detection
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Bo Lin
Yang Qiu
Adam Yule
Yao Tang
Jiajun Liang
211
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20 Oct 2023
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
Yufei Gu
Xiaoqing Zheng
T. Aste
288
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Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs
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D. Weinshall
CLL
219
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17 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
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16 Oct 2023
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models
Lin Chen
Michal Lukasik
Wittawat Jitkrittum
Chong You
Sanjiv Kumar
338
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13 Oct 2023
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges
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Qianqian Xu
Jianlong Wu
Peisong Wen
Huiyang Shao
Zhiyong Yang
Guohao Li
Qingming Huang
AAML
289
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12 Oct 2023
Orthogonal Random Features: Explicit Forms and Sharp Inequalities
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Hachem Kadri
219
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11 Oct 2023
Can pre-trained models assist in dataset distillation?
Yao Lu
Xuguang Chen
Yuchen Zhang
Jianyang Gu
Tianle Zhang
Yifan Zhang
Xiaoniu Yang
Qi Xuan
Kai Wang
Yang You
DD
260
14
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05 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
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259
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03 Oct 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
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Tin Sum Cheng
Aurelien Lucchi
Ivan Dokmanić
Anastasis Kratsios
David Belius
242
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02 Oct 2023
Memorization with neural nets: going beyond the worst case
S. Dirksen
Patrick Finke
Martin Genzel
264
1
0
30 Sep 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features
Asian Conference on Machine Learning (ACML), 2023
Samet Demir
Zafer Dogan
MLT
110
4
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28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
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281
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28 Sep 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
Neural Information Processing Systems (NeurIPS), 2023
Yicheng Li
Hao Zhang
Qian Lin
221
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0
23 Sep 2023
A Spectral Theory of Neural Prediction and Alignment
Neural Information Processing Systems (NeurIPS), 2023
Abdulkadir Canatar
J. Feather
Albert J. Wakhloo
SueYeon Chung
OOD
274
19
0
22 Sep 2023
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data
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Wanli Hong
Shuyang Ling
221
30
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18 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
308
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13 Sep 2023
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Shaik Basheeruddin Shah
Pradyumna Pradhan
Wei Pu
Ramunaidu Randhi
Miguel R. D. Rodrigues
Yonina C. Eldar
284
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12 Sep 2023
Ensemble linear interpolators: The role of ensembling
Mingqi Wu
Qiang Sun
254
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No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
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Stavroula Mougiakakou
204
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The Quest of Finding the Antidote to Sparse Double Descent
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Marta Milovanović
299
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Least Squares Maximum and Weighted Generalization-Memorization Machines
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Zhen Wang
Yuanfu Shao
159
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Six Lectures on Linearized Neural Networks
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Andrea Montanari
350
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On High-Dimensional Asymptotic Properties of Model Averaging Estimators
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F. Komaki
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Size Lowerbounds for Deep Operator Networks
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Amartya Roy
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296
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11 Aug 2023
Memory capacity of two layer neural networks with smooth activations
SIAM Journal on Mathematics of Data Science (SIMODS), 2023
Liam Madden
Christos Thrampoulidis
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310
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03 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
373
48
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01 Aug 2023
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation
Liang Xu
Mingxi Chen
Yiyu Cheng
Pengfei Shao
Shuwei Shen
Peng Yao
Ronald X. Xu
ViT
183
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27 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)
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Maximilian Schluter
Timo Speith
172
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Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
International Conference on Learning Representations (ICLR), 2023
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Issei Sato
448
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Data-Induced Interactions of Sparse Sensors Using Statistical Physics
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109
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What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems
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Chih-Hong Cheng
Wei Huang
Xiaowei Huang
Changshun Wu
Xingyu Zhao
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249
10
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Optimizing PatchCore for Few/many-shot Anomaly Detection
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Triet Tran
Oliver Rippel
310
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Does Double Descent Occur in Self-Supervised Learning?
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Yonatan Gideoni
Dulhan Jayalath
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148
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The Interpolating Information Criterion for Overparameterized Models
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Christopher van der Heide
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Fred Roosta
Michael W. Mahoney
239
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Large Language Models
Communications of the ACM (CACM), 2023
Michael R Douglas
LLMAG
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935
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