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Samet Oymak
Super-Convergence with an Unstable Learning Rate

Feb 22, 2021
Samet Oymak


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Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning

Feb 14, 2021
Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel

* To appear in ICASSP 21' 
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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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On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?

Nov 16, 2020
Yao-Chun Chan, Mingchen Li, Samet Oymak


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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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Unsupervised Paraphrasing via Deep Reinforcement Learning

Jul 05, 2020
A. B. Siddique, Samet Oymak, Vagelis Hristidis


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Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training

Jun 19, 2020
Samet Oymak, Talha Cihad Gulcu

* 25 pages 
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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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On the Role of Dataset Quality and Heterogeneity in Model Confidence

Feb 23, 2020
Yuan Zhao, Jiasi Chen, Samet Oymak

* 25 pages, 14 figures 
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Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems

Feb 20, 2020
Yahya Sattar, Samet Oymak


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Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian

Jul 04, 2019
Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi


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Quickly Finding the Best Linear Model in High Dimensions

Jul 03, 2019
Yahya Sattar, Samet Oymak


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Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks

Apr 07, 2019
Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak


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Towards moderate overparameterization: global convergence guarantees for training shallow neural networks

Feb 12, 2019
Samet Oymak, Mahdi Soltanolkotabi


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Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Dec 25, 2018
Samet Oymak, Mahdi Soltanolkotabi


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Stochastic Gradient Descent Learns State Equations with Nonlinear Activations

Sep 09, 2018
Samet Oymak

* 23 pages, 4 figures 
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High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient

Jun 15, 2018
Amir Asiaee, Samet Oymak, Kevin R. Coombes, Arindam Banerjee


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Non-asymptotic Identification of LTI Systems from a Single Trajectory

Jun 14, 2018
Samet Oymak, Necmiye Ozay

* 26 pages, 8 figures 
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Learning Compact Neural Networks with Regularization

Jun 06, 2018
Samet Oymak

* ICML 2018, 46 pages, 11 figures 
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End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition

May 16, 2018
Samet Oymak, Mahdi Soltanolkotabi

* 29 pages, 12 figures 
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Universality laws for randomized dimension reduction, with applications

Sep 17, 2017
Samet Oymak, Joel A. Tropp

* v2 and v3 with technical corrections. Code for reproducing figures available at http://users.cms.caltech.edu/~jtropp/ 
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Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression

May 20, 2017
Samet Oymak, Mehrdad Mahdavi, Jiasi Chen

* 22 pages, 7 figures 
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Fast and Reliable Parameter Estimation from Nonlinear Observations

Oct 23, 2016
Samet Oymak, Mahdi Soltanolkotabi

* 23 pages, 4 figures 
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Sharp Time--Data Tradeoffs for Linear Inverse Problems

Jan 05, 2016
Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi


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Near-Optimal Bounds for Binary Embeddings of Arbitrary Sets

Dec 14, 2015
Samet Oymak, Ben Recht

* 20 pages, 4 figures 
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Isometric sketching of any set via the Restricted Isometry Property

Oct 06, 2015
Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi

* 17 pages 
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Parallel Correlation Clustering on Big Graphs

Jul 20, 2015
Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan


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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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Finding Dense Clusters via "Low Rank + Sparse" Decomposition

Apr 27, 2011
Samet Oymak, Babak Hassibi

* 19 pages, 2 figures 
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