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Rachael Tappenden
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- affiliation: University of Canterbury, Christchurch, New Zealand
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2020 – today
- 2024
- [j14]Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác:
Stochastic Gradient Methods with Preconditioned Updates. J. Optim. Theory Appl. 201(2): 471-489 (2024) - 2022
- [j13]Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takác, Alexander V. Gasnikov:
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes. EURO J. Comput. Optim. 10: 100041 (2022) - [i7]Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác:
Stochastic Gradient Methods with Preconditioned Updates. CoRR abs/2206.00285 (2022) - [i6]Rachael Tappenden, Martin Takác:
Gradient Descent and the Power Method: Exploiting their connection to find the leftmost eigen-pair and escape saddle points. CoRR abs/2211.00866 (2022) - 2021
- [j12]Majid Jahani, Naga Venkata C. Gudapati, Chenxin Ma, Rachael Tappenden, Martin Takác:
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences. Comput. Optim. Appl. 79(2): 369-404 (2021) - [j11]Ian D. Coope, Rachael Tappenden:
Gradient and diagonal Hessian approximations using quadratic interpolation models and aligned regular bases. Numer. Algorithms 88(2): 767-791 (2021) - [c1]Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takác:
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. AISTATS 2021: 487-495
2010 – 2019
- 2019
- [j10]Ian D. Coope, Rachael Tappenden:
Efficient calculation of regular simplex gradients. Comput. Optim. Appl. 72(3): 561-588 (2019) - 2018
- [j9]Kimon Fountoulakis, Rachael Tappenden:
A flexible coordinate descent method. Comput. Optim. Appl. 70(2): 351-394 (2018) - [j8]Xi He, Rachael Tappenden, Martin Takác:
Dual Free Adaptive Minibatch SDCA for Empirical Risk Minimization. Frontiers Appl. Math. Stat. 4: 33 (2018) - [j7]Rachael Tappenden, Martin Takác, Peter Richtárik:
On the complexity of parallel coordinate descent. Optim. Methods Softw. 33(2): 372-395 (2018) - 2017
- [j6]Daniel P. Robinson, Rachael Tappenden:
A Flexible ADMM Algorithm for Big Data Applications. J. Sci. Comput. 71(1): 435-467 (2017) - [i5]Chenxin Ma, Naga Venkata C. Gudapati, Majid Jahani, Rachael Tappenden, Martin Takác:
Underestimate Sequences via Quadratic Averaging. CoRR abs/1710.03695 (2017) - 2016
- [j5]Chenxin Ma, Rachael Tappenden, Martin Takác:
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption. J. Mach. Learn. Res. 17: 230:1-230:24 (2016) - [j4]Rachael Tappenden, Peter Richtárik, Jacek Gondzio:
Inexact Coordinate Descent: Complexity and Preconditioning. J. Optim. Theory Appl. 170(1): 144-176 (2016) - 2015
- [j3]Rachael Tappenden, Peter Richtárik, Burak Büke:
Separable approximations and decomposition methods for the augmented Lagrangian. Optim. Methods Softw. 30(3): 643-668 (2015) - [i4]Chenxin Ma, Rachael Tappenden, Martin Takác:
Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption. CoRR abs/1506.02530 (2015) - 2013
- [i3]Rachael Tappenden, Peter Richtárik, Jacek Gondzio:
Inexact Coordinate Descent: Complexity and Preconditioning. CoRR abs/1304.5530 (2013) - [i2]Rachael Tappenden, Peter Richtárik, Burak Büke:
Separable Approximations and Decomposition Methods for the Augmented Lagrangian. CoRR abs/1308.6774 (2013) - 2011
- [j2]Robert L. Broughton, Ian D. Coope, Peter F. Renaud, Rachael Tappenden:
A box constrained gradient projection algorithm for compressed sensing. Signal Process. 91(8): 1985-1992 (2011) - 2010
- [j1]Robert L. Broughton, Ian D. Coope, Peter Renaud, Rachael Tappenden:
Determinant and Exchange Algorithms for Observation Subset Selection. IEEE Trans. Image Process. 19(9): 2437-2443 (2010)
2000 – 2009
- 2009
- [i1]Robert L. Broughton, Ian D. Coope, Peter Renaud, Rachael Tappenden:
A Barzilai-Borwein $l_1$-Regularized Least Squares Algorithm for Compressed Sensing. CoRR abs/0907.3340 (2009)
Coauthor Index
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last updated on 2024-09-13 01:41 CEST by the dblp team
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