Fred (Farbod) Roosta
TitleCited byYear
Newton-type methods for non-convex optimization under inexact hessian information
P Xu, F Roosta, MW Mahoney
Mathematical Programming, 1-36, 2017
652017
Sub-sampled Newton methods II: Local convergence rates
F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1601.04738, 2016
612016
Sub-sampled Newton methods I: globally convergent algorithms
F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1601.04737, 2016
612016
Improved bounds on sample size for implicit matrix trace estimators
F Roosta-Khorasani, U Ascher
Foundations of Computational Mathematics 15 (5), 1187-1212, 2015
532015
Sub-sampled Newton methods with non-uniform sampling
P Xu, J Yang, F Roosta-Khorasani, C Ré, MW Mahoney
Advances in Neural Information Processing Systems, 3000-3008, 2016
492016
Second-order optimization for non-convex machine learning: An empirical study
P Xu, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1708.07827, 2017
372017
Stochastic algorithms for inverse problems involving PDEs and many measurements
F Roosta-Khorasani, K van den Doel, U Ascher
SIAM Journal on Scientific Computing 36 (5), S3-S22, 2014
302014
GIANT: Globally improved approximate newton method for distributed optimization
S Wang, F Roosta-Khorasani, P Xu, MW Mahoney
Advances in Neural Information Processing Systems, 2338-2348, 2018
182018
Parallel local graph clustering
J Shun, F Roosta-Khorasani, K Fountoulakis, MW Mahoney
Proceedings of the VLDB Endowment 9 (12), 1041-1052, 2016
182016
Data completion and stochastic algorithms for PDE inversion problems with many measurements
F Roosta-Khorasani, K Van Den Doel, U Ascher
Electron. Trans. Numer. Anal 42, 177-196, 2014
182014
Assessing stochastic algorithms for large scale nonlinear least squares problems using extremal probabilities of linear combinations of gamma random variables
F Roosta-Khorasani, GJ Székely, UM Ascher
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 61-90, 2015
162015
Inexact non-convex Newton-type methods
Z Yao, P Xu, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1802.06925, 2018
132018
Variational perspective on local graph clustering
K Fountoulakis, F Roosta-Khorasani, J Shun, X Cheng, MW Mahoney
Mathematical Programming, 1-21, 2016
13*2016
Sub-sampled Newton methods
F Roosta-Khorasani, MW Mahoney
Mathematical Programming, 1-34, 2018
92018
Invariance of weight distributions in rectified MLPs
R Tsuchida, F Roosta-Khorasani, M Gallagher
arXiv preprint arXiv:1711.09090, 2017
72017
Randomized algorithms for solving large scale nonlinear least squares problems
F Roosta-Khorasani
University of British Columbia, 2015
72015
Newton-MR: Newton's Method Without Smoothness or Convexity
F Roosta, Y Liu, P Xu, MW Mahoney
arXiv preprint arXiv:1810.00303, 2018
42018
Union of intersections (uoi) for interpretable data driven discovery and prediction
K Bouchard, A Bujan, F Roosta-Khorasani, S Ubaru, M Prabhat, ...
Advances in Neural Information Processing Systems, 1078-1086, 2017
42017
GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems
S Kylasa, F Roosta, MW Mahoney, A Grama
Proceedings of the 2019 SIAM International Conference on Data Mining, 702-710, 2019
2*2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
R Crane, F Roosta
arXiv preprint arXiv:1901.05134, 2019
22019
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Articles 1–20