Rachael Tappenden

Orcid: 0000-0002-8011-1442

Affiliations:
  • University of Canterbury, Christchurch, New Zealand


According to our database1, Rachael Tappenden authored at least 19 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes.
EURO J. Comput. Optim., 2022

Gradient Descent and the Power Method: Exploiting their connection to find the leftmost eigen-pair and escape saddle points.
CoRR, 2022

Stochastic Gradient Methods with Preconditioned Updates.
CoRR, 2022

2021
Gradient and diagonal Hessian approximations using quadratic interpolation models and aligned regular bases.
Numer. Algorithms, 2021

Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences.
Comput. Optim. Appl., 2021

SONIA: A Symmetric Blockwise Truncated Optimization Algorithm.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
Efficient calculation of regular simplex gradients.
Comput. Optim. Appl., 2019

2018
On the complexity of parallel coordinate descent.
Optim. Methods Softw., 2018

Dual Free Adaptive Minibatch SDCA for Empirical Risk Minimization.
Frontiers Appl. Math. Stat., 2018

A flexible coordinate descent method.
Comput. Optim. Appl., 2018

2017
A Flexible ADMM Algorithm for Big Data Applications.
J. Sci. Comput., 2017

Underestimate Sequences via Quadratic Averaging.
CoRR, 2017

2016
Inexact Coordinate Descent: Complexity and Preconditioning.
J. Optim. Theory Appl., 2016

Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption.
J. Mach. Learn. Res., 2016

2015
Separable approximations and decomposition methods for the augmented Lagrangian.
Optim. Methods Softw., 2015

Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption.
CoRR, 2015

2011
A box constrained gradient projection algorithm for compressed sensing.
Signal Process., 2011

2010
Determinant and Exchange Algorithms for Observation Subset Selection.
IEEE Trans. Image Process., 2010

2009
A Barzilai-Borwein $l_1$-Regularized Least Squares Algorithm for Compressed Sensing
CoRR, 2009


  Loading...