Samet Oymak

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Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringPotvrđena adresa e-pošte na caltech.edu
Christos ThrampoulidisAssistant Professor, University of British Columbia, ECE DepartmentPotvrđena adresa e-pošte na ucsb.edu
Mahdi SoltanolkotabiUniversity of Southern CaliforniaPotvrđena adresa e-pošte na usc.edu
Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonPotvrđena adresa e-pošte na uw.edu
Jiasi ChenUniversity of Michigan, Ann ArborPotvrđena adresa e-pošte na umich.edu
Necmiye OzayEECS, University of MichiganPotvrđena adresa e-pošte na umich.edu
Kishore JaganathanIllumina Artificial Intelligence LaboratoryPotvrđena adresa e-pošte na caltech.edu
Dimitris PapailiopoulosResearcher at Microsoft Research & Assoc. Professor at University of WisconsinPotvrđena adresa e-pošte na papail.io
Benjamin RechtProfessor of EECS, University of California, BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Ankit Singh RawatResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Amin khajehnejadResearchPotvrđena adresa e-pošte na caltech.edu
Yonina EldarMath and Computer Science, WeizmannPotvrđena adresa e-pošte na weizmann.ac.il
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechPotvrđena adresa e-pošte na caltech.edu
Ramya Korlakai VinayakAssistant Professor, UW-MadisonPotvrđena adresa e-pošte na ece.wisc.edu
Karthik MohanAffiliate Professor, University of Washington Seattle. Research Scientist, Facebook, RedmondPotvrđena adresa e-pošte na uw.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Ananda Theertha SureshGoogle Research, New YorkPotvrđena adresa e-pošte na google.com
Mehrdad MahdaviAssociate Professor of Computer Science, Pennsylvania State UniversityPotvrđena adresa e-pošte na psu.edu
Athina PetropuluECE RutgersPotvrđena adresa e-pošte na rutgers.edu

Prati

Samet Oymak

EECS Prof @ University of Michigan

Potvrđena adresa e-pošte na umich.edu - Početna stranica

machine learning statistics optimization language models


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Gradient descent with early stopping is provably robust to label noise for overparameterized neural networks M Li, M Soltanolkotabi, S Oymak AISTATS, 2020	431	2020
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks S Oymak, M Soltanolkotabi IEEE Journal on Selected Areas in Information Theory, 2020	394	2020
Simultaneously structured models with application to sparse and low-rank matrices S Oymak, A Jalali, M Fazel, YC Eldar, B Hassibi IEEE Transactions on Information Theory, 2015	320	2015
Regularized linear regression: A precise analysis of the estimation error C Thrampoulidis, S Oymak, B Hassibi COLT, 2015	275*	2015
Non-asymptotic identification of LTI systems from a single trajectory S Oymak, N Ozay IEEE ACC, 2019	264	2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? S Oymak, M Soltanolkotabi ICML, 2019	222	2019
Unsupervised Multi-source Domain Adaptation Without Access to Source Data SM Ahmed, DS Raychaudhuri, S Paul, S Oymak, AK Roy-Chowdhury CVPR, 2021	195	2021
Transformers as Algorithms: Generalization and Stability in In-context Learning Y Li, ME Ildiz, D Papailiopoulos, S Oymak ICML, 2023	170	2023
Recovery of sparse 1-D signals from the magnitudes of their Fourier transform K Jaganathan, S Oymak, B Hassibi IEEE ISIT, 2012	163	2012
The squared-error of generalized lasso: A precise analysis S Oymak, C Thrampoulidis, B Hassibi 51st Annual Allerton Conference on Communication, Control, and Computing …, 2013	155	2013
Universality laws for randomized dimension reduction, with applications S Oymak, JA Tropp Information and Inference: A Journal of the IMA 7 (3), 337-446, 2018	150	2018
Sparse phase retrieval: Convex algorithms and limitations K Jaganathan, S Oymak, B Hassibi IEEE ISIT, 2013	139	2013
Sharp Time--Data Tradeoffs for Linear Inverse Problems S Oymak, B Recht, M Soltanolkotabi IEEE Transactions on Information Theory, 2018	119	2018
Sparse phase retrieval: Uniqueness guarantees and recovery algorithms K Jaganathan, S Oymak, B Hassibi IEEE Transactions on Signal Processing, 2017	119*	2017
A simplified approach to recovery conditions for low rank matrices S Oymak, K Mohan, M Fazel, B Hassibi IEEE ISIT, 2011	111	2011
Parallel correlation clustering on big graphs X Pan, D Papailiopoulos, S Oymak, B Recht, K Ramchandran, MI Jordan NeurIPS, 2015	108	2015
New null space results and recovery thresholds for matrix rank minimization S Oymak, B Hassibi arXiv:1011.6326, 2010	107*	2010
Sharp MSE Bounds for Proximal Denoising S Oymak, B Hassibi Foundations of Computational Mathematics, 2013	106	2013
Label-Imbalanced and Group-Sensitive Classification under Overparameterization GR Kini, O Paraskevas, S Oymak, C Thrampoulidis NeurIPS, 2021	102	2021
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian S Oymak, Z Fabian, M Li, M Soltanolkotabi ICML Workshop on Understanding and Improving Generalization in Deep Learning, 2019	100	2019

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