Follow
Raghu Bollapragada
Raghu Bollapragada
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Exact and inexact subsampled Newton methods for optimization
R Bollapragada, RH Byrd, J Nocedal
IMA Journal of Numerical Analysis 39 (2), 545-578, 2019
1542019
A progressive batching L-BFGS method for machine learning
R Bollapragada, J Nocedal, D Mudigere, HJ Shi, PTP Tang
International Conference on Machine Learning, 620-629, 2018
1142018
An investigation of Newton-sketch and subsampled Newton methods
AS Berahas, R Bollapragada, J Nocedal
Optimization Methods and Software 35 (4), 661-680, 2020
892020
Adaptive sampling strategies for stochastic optimization
R Bollapragada, R Byrd, J Nocedal
SIAM Journal on Optimization 28 (4), 3312-3343, 2018
882018
Balancing communication and computation in distributed optimization
AS Berahas, R Bollapragada, NS Keskar, E Wei
IEEE Transactions on Automatic Control 64 (8), 3141-3155, 2018
772018
Nonlinear acceleration of momentum and primal-dual algorithms
R Bollapragada, D Scieur, A d’Aspremont
Mathematical Programming, 1-38, 2022
262022
On the convergence of nested decentralized gradient methods with multiple consensus and gradient steps
AS Berahas, R Bollapragada, E Wei
IEEE Transactions on Signal Processing 69, 4192-4203, 2021
102021
Adaptive sampling quasi-Newton methods for derivative-free stochastic optimization
R Bollapragada, SM Wild
arXiv preprint arXiv:1910.13516, 2019
102019
Optimization and supervised machine learning methods for fitting numerical physics models without derivatives
R Bollapragada, M Menickelly, W Nazarewicz, J O’Neal, PG Reinhard, ...
Journal of Physics G: Nuclear and Particle Physics 48 (2), 024001, 2020
92020
Nonlinear acceleration of primal-dual algorithms
R Bollapragada, D Scieur, A d’Aspremont
the 22nd International Conference on Artificial Intelligence and Statistics …, 2019
62019
Constrained and composite optimization via adaptive sampling methods
Y Xie, R Bollapragada, R Byrd, J Nocedal
arXiv preprint arXiv:2012.15411, 2020
52020
On the fast convergence of minibatch heavy ball momentum
R Bollapragada, T Chen, R Ward
arXiv preprint arXiv:2206.07553, 2022
22022
An Adaptive Sampling Sequential Quadratic Programming Method for Equality Constrained Stochastic Optimization
AS Berahas, R Bollapragada, B Zhou
arXiv preprint arXiv:2206.00712, 2022
2022
Learning a Neural Pareto Manifold Extractor with Constraints
S Gupta, G Singh, R Bollapragada, M Lease
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
R Bollapragada, SM Wild
arXiv preprint arXiv:2109.12213, 2021
2021
Retrospective Approximation for Smooth Stochastic Optimization
D Newton, R Bollapragada, R Pasupathy, NK Yip
arXiv preprint arXiv:2103.04392, 2021
2021
Optimization and Machine Learning Training Algorithms for Fitting Numerical Physics Models
R Bollapragada, M Menickelly, W Nazarewicz, J O’Neal, PG Reinhard, ...
arXiv preprint arXiv:2010.05668, 2020
2020
An Investigation of Newton-Sketch and Subsampled Newton Methods: Supplementary Materials
AS Berahas, R Bollapragada, J Nocedal
2020
Kinematical Design of a Precision Cylindrical Grinder with Volumetric Error Modelling and Sensitivity Analysis
V Rajagopal, VR Bollapragada, RB Nimmagadda
International Journal of Precision Technology 6, 193-215, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–19