Blake E Woodworth
12 papers · 2016–2022 · 3 conferences · across top CS/AI conferences
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(12)
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(59)
Conferences
NIPS (10)
COLT (1)
ICML (1)
Top co-authors
Keywords
convex optimization
(5)
gradient descent
(4)
distributed optimization
(4)
stochastic gradient descent
(2)
distributed learning
(2)
stochastic optimization
(2)
initialization scale
(2)
gradient flow
(2)
implicit bia
(2)
oracle complexity
(2)
lower bound
(2)
non-convex optimization
(2)
composite optimization
(1)
sample complexity
(1)
logistic regression
(1)
matrix factorization
(1)
neural tangent kernel
(1)
stochastic gradient
(1)
variance reduction
(1)
learning theory
(1)
Papers
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
NIPS 2022
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization
NIPS 2022
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
NIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization
NIPS 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
COLT 2021
Minibatch vs Local SGD for Heterogeneous Distributed Learning
NIPS 2020
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NIPS 2020
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
NIPS 2018
The Everlasting Database: Statistical Validity at a Fair Price
NIPS 2018
Implicit Regularization in Matrix Factorization
NIPS 2017
Tight Complexity Bounds for Optimizing Composite Objectives
NIPS 2016