v1v2v3 (latest)

Label-Imbalanced and Group-Sensitive Classification under Overparameterization

2 March 2021

Ganesh Ramachandra Kini

Orestis Paraskevas

Samet Oymak

Christos Thrampoulidis

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Papers citing "Label-Imbalanced and Group-Sensitive Classification under Overparameterization"

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Title
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 67 97 0 23 Oct 2018
Does data interpolation contradict statistical optimality? M. Belkin Alexander Rakhlin Alexandre B. Tsybakov 82 220 0 25 Jun 2018
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate Mor Shpigel Nacson Nathan Srebro Daniel Soudry FedML MLT 80 102 0 05 Jun 2018
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization Navid Azizan B. Hassibi 48 63 0 04 Jun 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro MDE 124 413 0 01 Jun 2018
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 66 141 0 25 Apr 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 103 862 0 18 Apr 2018
Risk and parameter convergence of logistic regression Ziwei Ji Matus Telgarsky 73 130 0 20 Mar 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 64 288 0 19 Mar 2018
Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson Jason D. Lee Suriya Gunasekar Pedro H. P. Savarese Nathan Srebro Daniel Soudry 76 169 0 05 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 78 445 0 23 Feb 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 70 420 0 05 Feb 2018
A Precise Analysis of PhaseMax in Phase Retrieval Fariborz Salehi Ehsan Abbasi B. Hassibi 41 22 0 20 Jan 2018
Additive Margin Softmax for Face Verification Feng Wang Weiyang Liu Haijun Liu Jian Cheng CVBM 97 1,274 0 17 Jan 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 161 923 0 27 Oct 2017
Spectral Algorithms for Computing Fair Support Vector Machines Matt Olfat A. Aswani FaML 49 33 0 16 Oct 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 221 2,370 0 15 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Does Distributionally Robust Supervised Learning Give Robust Classifiers? Weihua Hu Gang Niu Issei Sato Masashi Sugiyama OOD 65 60 0 07 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 201 1,213 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,775 0 19 Sep 2016
Finite Sample Analysis of Approximate Message Passing Algorithms Cynthia Rush R. Venkataramanan 81 59 0 06 Jun 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,334 0 21 Mar 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 194 222 0 23 Jan 2016
Factors in Finetuning Deep Model for object detection Wanli Ouyang Xiaogang Wang Cong Zhang Xiaokang Yang 55 190 0 20 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Universality laws for randomized dimension reduction, with applications Samet Oymak J. Tropp 79 110 0 30 Nov 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 74 885 0 14 Aug 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 102 117 0 06 Jun 2015
$Variance Breakdown of Huber (M)-estimators: $n/p \rightarrow m \in (1,\infty)$$ Variance Breakdown of Huber (M)-estimators: $n/p \rightarrow m \in (1,\infty)$ D. Donoho Andrea Montanari 126 14 0 06 Mar 2015
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 148 131 0 04 Nov 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing D. Donoho Andrea Montanari 229 222 0 28 Oct 2013
Early stopping and non-parametric regression: An optimal data-dependent stopping rule Garvesh Raskutti Martin J. Wainwright Bin Yu 119 299 0 15 Jun 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 280 128 0 29 Mar 2013
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising D. Donoho Iain M. Johnstone Andrea Montanari 127 180 0 04 Nov 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 211 1,341 0 03 Dec 2010
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 186 319 0 16 Aug 2010
The Noise-Sensitivity Phase Transition in Compressed Sensing D. Donoho A. Maleki Andrea Montanari 101 382 0 08 Apr 2010
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 108 2,362 0 21 Jul 2009