Donald Goldfarb
11 papers · 2010–2023 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (13)
πΊοΈ
Taxonomy Completionist
(25)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π¬
Deep Specialist
(10)
π
Trend Setter
ποΈ
Keyword Collector
(55)
π
Century Club
(11)
Conferences
NIPS (4)
ICML (3)
AISTATS (2)
AAAI (1)
JMLR (1)
Top co-authors
Keywords
stochastic optimization
(3)
quasi-newton method
(3)
fisher matrix
(2)
second-order optimization
(2)
second-order method
(2)
convex optimization
(2)
linear convergence
(2)
sparse learning
(1)
natural gradient
(1)
stochastic gradient
(1)
group lasso
(1)
convex relaxation
(1)
variance reduction
(1)
sparse inverse covariance
(1)
sparse estimation
(1)
neural network training
(1)
inverse covariance
(1)
signal recovery
(1)
alternating linearization
(1)
sample complexity
(1)
Papers
A Mini-Block Fisher Method for Deep Neural Networks
AISTATS 2023
Tensor Normal Training for Deep Learning Models
NIPS 2021
Increasing Iterate Averaging for Solving Saddle-Point Problems
AAAI 2021
Practical Quasi-Newton Methods for Training Deep Neural Networks
NIPS 2020
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
NIPS 2019
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
ICML 2017
Linear Convergence of Stochastic Frank Wolfe Variants
AISTATS 2017
Stochastic Block BFGS: Squeezing More Curvature out of Data
ICML 2016
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
ICML 2014
Structured Sparsity via Alternating Direction Methods
JMLR 2012
Sparse Inverse Covariance Selection via Alternating Linearization Methods
NIPS 2010