About
Discord Stateoftheart AI
GitHub

Publications

31

Cited by

1669

Aaron Defazio

machine learning
Facebook

United States

Papers and Citations

1 - 50
SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives
2014
Simon Lacoste-Julien
Francis Bach
Aaron Defazio
Cited by 1173
Finito: A faster, permutable incremental gradient method for big data problems
2014
Aaron Defazio
J Domke
Cited by 163
A simple practical accelerated method for finite sums
2016
Aaron Defazio
Cited by 109
fastMRI: An open dataset and benchmarks for accelerated MRI
2018
Zizhao Zhang
Matthew J. Muckley
Anuroop Sriram
+20
Cited by 103
Non-uniform stochastic average gradient method for training conditional random fields
2015
Ann Clifton
Anoop Sarkar
Aaron Defazio
+4
Cited by 80
On the ineffectiveness of variance reduced optimization for deep learning
2019
Aaron Defazio
Leon Bottou
Cited by 43
A convex formulation for learning scale-free networks via submodular relaxation
2012
Tiberio Caetano
Aaron Defazio
Cited by 37
A comparison of learning algorithms on the arcade learning environment
2014
Thore Graepel
Aaron Defazio
Cited by 24
On the curved geometry of accelerated optimization
2019
Aaron Defazio
Cited by 13
A graphical model formulation of collaborative filtering neighbourhood methods with fast maximum entropy training
2012
Tiberio Caetano
Aaron Defazio
Cited by 12
New optimisation methods for machine learning
2015
Aaron Defazio
Cited by 10
fastmri: A publicly available raw k-space and dicom dataset of knee images for accelerated mr image reconstruction using machine learning
2020
Mary Bruno
Marc Parente
Duo Wang
+20
Cited by 8
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
2020
Jure Zbontar
Michael Rabbat
Florian Knoll
+8
Cited by 6
End-to-End Variational Networks for Accelerated MRI Reconstruction
2020
Nafissa Yakubova
Tullie Murrell
Aaron Defazio
+5
Cited by 5
GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction
2020
DK Sodickson
C. Lawrence Zitnick
Jure Zbontar
+3
Cited by 5
On the convergence of the stochastic heavy ball method
2020
Aaron Defazio
Othmane Sebbouh
Robert Mansel Gower
Cited by 3
Natural language question answering over triple knowledge bases
2009
Aaron Defazio
Cited by 3
MRI Banding Removal via Adversarial Training
2020
MP Recht
Tullie Murrell
Aaron Defazio
Cited by 2
Scaling laws for the principled design, initialization and preconditioning of relu networks
2019
Leon Bottou
Aaron Defazio
Cited by 2
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
2020
Samy Jelassi
Aaron Defazio
Cited by
Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
2021
Robert Mansel Gower
Othmane Sebbouh
Aaron Defazio
Cited by
Factorial Powers for Stochastic Optimization
2020
Aaron Defazio
Robert Mansel Gower
Cited by
A convex formulation for learning scale-free networks via submodular relaxation tiberio s. caetano nicta/anu/university of sydney canberra and
Aaron Defazio
Tiberio Caetano
Cited by
Methods of interpreting error estimates for grayscale image reconstructions
2019
M Tygert
Aaron Defazio
Cited by
Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
2019
Aaron Defazio
Cited by
Using Deep Learning to Accelerate Knee MRI at 3T: Results of an Interchangeability Study
2020
Leon Rybak
Ruben Stern
Mitchell Kline
+19
Cited by
Controlling Covariate Shift using Balanced Normalization of Weights
2018
Aaron Defazio
Leon Bottou
Cited by
CONTROLLING COVARIATE SHIFT USING EQUILIBRIUM NORMALIZATION OF WEIGHTS
2018
Aaron Defazio
Cited by
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields: Supplementary Material
MO Ahemd
M Schmidt
Reza Babanezhad
+3
Cited by