Raghu Bollapragada - Concepedia

Author

Raghu Bollapragada

The University of Texas at Austin

Also Known As

Bollapragada, Raghu, Raghu Bollapragada

Publications

351

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Austin Northwestern University University of Colorado Boulder Management Sciences (United States)Argonne National Laboratory

About

Raghu Bollapragada is an author at The University of Texas at Austin specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	268
2	Computer Science	5	5	241
3	Data Science	4	4	112
4	Computer Engineering	1	1	110
5	Artificial Intelligence	1	1	57

Raghu Bollapragada

Publications

303

Citations

H-Index

Page 1

	Year	Citations
Balancing Communication and Computation in Distributed Optimization Albert S. Berahas, Raghu Bollapragada, Nitish Shirish Keskar, IEEE Transactions on Automatic Control Adaptive Cost FrameworkDistributed AlgorithmEngineeringMachine LearningDistributed Algorithms	2018	110
A Progressive Batching L-BFGS Method for Machine Learning Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, arXiv (Cornell University) Artificial IntelligenceMathematical ProgrammingEngineeringMachine LearningModel Tuning	2018	57
An investigation of Newton-Sketch and subsampled Newton methods Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal Optimization methods & software Numerical AnalysisMathematical ProgrammingEngineeringComplexity ReductionComputational Mechanics	2020	33
Exact and inexact subsampled Newton methods for optimization Raghu Bollapragada, Richard Byrd, Jorge Nocedal IMA Journal of Numerical Analysis Numerical AnalysisModel OptimizationLinear SystemsEngineeringMachine Learning	2018	31
Nonlinear acceleration of momentum and primal-dual algorithms Raghu Bollapragada, Damien Scieur, Alexandre d’Aspremont Mathematical Programming Mathematical ProgrammingNumerical AnalysisEngineeringConvex OptimizationInverse Problems	2022	15
On the Convergence of Nested Decentralized Gradient Methods with\n Multiple Consensus and Gradient Steps Albert S. Berahas, Raghu Bollapragada, Ermin Wei arXiv (Cornell University)	2020	13
Optimization and supervised machine learning methods for fitting numerical physics models without derivatives <sup>*</sup> Raghu Bollapragada, Matt Menickelly, W. Nazarewicz, Journal of Physics G Nuclear and Particle Physics Numerical AnalysisEngineeringMachine LearningNuclear PhysicsModel Tuning	2020	12
Constrained and composite optimization via adaptive sampling methods Yuchen Xie, Raghu Bollapragada, Richard Byrd, IMA Journal of Numerical Analysis	2023	12
Adaptive Sampling Strategies for Stochastic Optimization Raghu Bollapragada, Richard Byrd, Jorge Nocedal SIAM Journal on Optimization Mathematical ProgrammingFull GradientsEngineeringMachine LearningData Science	2018	10
An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints Raghu Bollapragada, Cem Karamanli, Brendan Keith, Computers & Mathematics with Applications	2023	10

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