Raghu Bollapragada

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Convergence Proof

Computationally Intensive

Top Venues

Comput. Math. Appl.

Publications

Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear acceleration of momentum and primal-dual algorithms. Math. Program. 198 (1) (2023)
Raghu Bollapragada, Stefan M. Wild
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization. Math. Program. Comput. 15 (2) (2023)
Raghu Bollapragada, Cem Karamanli, Brendan Keith, Boyan Lazarov, Socratis Petrides, Jingyi Wang
An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints. Comput. Math. Appl. 149 (2023)
Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, Matthew Lease
Learning a neural Pareto manifold extractor with constraints. UAI (2022)
Raghu Bollapragada, Tyler Chen, Rachel Ward
On the fast convergence of minibatch heavy ball momentum. CoRR (2022)
Albert S. Berahas, Raghu Bollapragada, Ermin Wei
On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps. IEEE Trans. Signal Process. 69 (2021)
Raghu Bollapragada, Stefan M. Wild
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization. CoRR (2021)
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal
An investigation of Newton-Sketch and subsampled Newton methods. Optim. Methods Softw. 35 (4) (2020)
Albert S. Berahas, Raghu Bollapragada, Nitish Shirish Keskar, Ermin Wei
Balancing Communication and Computation in Distributed Optimization. IEEE Trans. Autom. Control. 64 (8) (2019)
Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear Acceleration of Primal-Dual Algorithms. AISTATS (2019)
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
A Progressive Batching L-BFGS Method for Machine Learning. CoRR (2018)
Raghu Bollapragada, Richard H. Byrd, Jorge Nocedal
Adaptive Sampling Strategies for Stochastic Optimization. SIAM J. Optim. 28 (4) (2018)
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
A Progressive Batching L-BFGS Method for Machine Learning. ICML (2018)
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal
An Investigation of Newton-Sketch and Subsampled Newton Methods. CoRR (2017)