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Certainty Equivalent Quadratic Control for Markov Jump Systems


May 26, 2021
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay

* 17 pages, 8 figures 

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Generalization Guarantees for Neural Architecture Search with Train-Validation Split


May 10, 2021
Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi

* to appear in ICML 2021 

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Unsupervised Multi-source Domain Adaptation Without Access to Source Data


Apr 05, 2021
Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury

* This paper will appear at CVPR 2021 

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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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Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning


Feb 26, 2021
Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel

* To appear in ICASSP 21' 

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Super-Convergence with an Unstable Learning Rate


Feb 22, 2021
Samet Oymak


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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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