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Label-Imbalanced and Group-Sensitive Classification under Overparameterization


Mar 02, 2021
Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis


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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks


Dec 16, 2020
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis

* to appear at AAAI 2021 

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Decentralized Multi-Agent Linear Bandits with Safety Constraints


Dec 01, 2020
Sanae Amani, Christos Thrampoulidis


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Benign Overfitting in Binary Classification of Gaussian Mixtures


Nov 18, 2020
Ke Wang, Christos Thrampoulidis

* 11 pages, 3 figures 

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Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View


Nov 16, 2020
Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi

* To Appear at NeurIPS 2020. 62 pages, 7 figures 

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Asymptotic Behavior of Adversarial Training in Binary Classification


Oct 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Stage-wise Conservative Linear Bandits


Sep 30, 2020
Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh

* Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020 
* 28 pages, 5 figures 

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Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models


Aug 11, 2020
Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan

* 45 pages, 5 figures 

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Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions


Jul 05, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Exploring Weight Importance and Hessian Bias in Model Pruning


Jun 19, 2020
Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak

* 28 pages 

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Regret Bounds for Safe Gaussian Process Bandit Optimization


May 05, 2020
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis

* 22 pages, 17 figures 

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Sharp Asymptotics and Optimal Performance for Inference in Binary Models


Feb 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Analytic Study of Double Descent in Binary Classification: The Impact of Loss


Jan 30, 2020
Ganesh Kini, Christos Thrampoulidis


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A Model of Double Descent for High-dimensional Binary Linear Classification


Nov 13, 2019
Zeyu Deng, Abla Kammoun, Christos Thrampoulidis

* Short version submitted to ICASSP 2020 

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Safe Linear Thompson Sampling


Nov 06, 2019
Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis


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Linear Stochastic Bandits Under Safety Constraints


Aug 16, 2019
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis

* 23 pages, 7 figures 

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Sharp Guarantees for Solving Random Equations with One-Bit Information


Aug 12, 2019
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

* 12 pages, 4 figures 

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Lifting high-dimensional nonlinear models with Gaussian regressors


Oct 26, 2018
Christos Thrampoulidis, Ankit Singh Rawat

* Improved the algorithm and expanded on its motivation; added simulation results 

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The Squared-Error of Generalized LASSO: A Precise Analysis


Nov 06, 2013
Samet Oymak, Christos Thrampoulidis, Babak Hassibi


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