Mert Gürbüzbalaban

Author

Mert Gürbüzbalaban

Rutgers Sexual and Reproductive Health and Rights ORCID

Also Known As

Gurbuzbalaban, Mert, Gürbüzbalaban, Mert, M. Gurbuzbalaban, M. Gürbüzbalaban, Mert Gurbuzbalaban, Mert Gürbüzbalaban

107

Publications

839

Citations

H-Index

Concepts

All Affiliations

Rutgers Sexual and Reproductive Health and Rights Massachusetts Institute of Technology Rutgers, The State University of New Jersey Florida State University Chinese University of Hong Kong

About

Mert Gürbüzbalaban is an author at Rutgers Sexual and Reproductive Health and Rights specializing in engineering, computer science, and stochastic optimization.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	18	494
2	Computer Science	12	13	270
3	Data Science	3	3	79
4	Natural Sciences	1	1	16
5	Computer Engineering	1	1	14

Mert Gürbüzbalaban

Publications

665

Citations

H-Index

Page 1

	Year	Citations
Why random reshuffling beats stochastic gradient descent Mert Gürbüzbalaban, Asuman Ozdaglar, Pablo A. Parrilo Mathematical Programming Probability TheoryEngineeringStochastic Dynamical SystemStochastic Optimization	2019	108
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural\n Networks Umut Şimşekli, Levent Sagun, Mert Gürbüzbalaban arXiv (Cornell University)	2019	69
Fast Approximation of the $H_\infty$ Norm via Optimization over Spectral Value Sets Nicola Guglielmi, Mert Gürbüzbalaban, Michael L. Overton SIAM Journal on Matrix Analysis and Applications Numerical AnalysisSpectral TheoryEngineeringVariational AnalysisSemidefinite Programming	2013	53
A globally convergent incremental Newton method Mert Gürbüzbalaban, Asuman Ozdaglar, Pablo A. Parrilo Mathematical Programming Numerical AnalysisNumerical ComputationEngineeringContinuous OptimizationInverse Problems	2015	38
The Heavy-Tail Phenomenon in SGD Mert Gürbüzbalaban, Umut Şimşekli, Lingjiong Zhu arXiv (Cornell University) EngineeringMachine LearningData ScienceStochastic OptimizationComputational Learning Theory	2020	38
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu arXiv (Cornell University) Momentum-based AccelerationNon-convex Stochastic OptimizationEngineeringData ScienceStochastic Optimization	2018	31
On Nesterov’s nonsmooth Chebyshev–Rosenbrock functions Mert Gürbüzbalaban, Michael L. Overton Nonlinear Analysis Spectral TheoryDirichlet FormChebyshev–rosenbrock FunctionsEngineeringFunctional Analysis	2011	28
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Şimşekli, Levent Sagun, Mert Gürbüzbalaban SPIRE - Sciences Po Institutional REpository	2019	27
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks Alireza Fallah, Mert Gürbüzbalaban, Asuman Ozdaglar, arXiv (Cornell University) EngineeringNetwork AnalysisDistributed Ai SystemAccelerated MethodsStochastic Network	2019	24
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks Umut Şimşekli, Mert Gürbüzbalaban, Thanh Huy Nguyen, arXiv (Cornell University) Large DeviationsEngineeringMachine LearningStochastic AnalysisStochastic Phenomenon	2019	22

Page 1