Blake E Woodworth
12 papers · 2016–2022 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(62)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(12)
Mathematics & Optimization
(7)
Optimization
(7)
Deep Learning
(4)
Optimization & Theory · Deep Learning
(4)
Artificial Intelligence
(2)
Computer Science
(2)
Learning Paradigms · Artificial Intelligence
(2)
Systems
(2)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Techniques
(1)
Keywords
convex optimization
(5)
distributed optimization
(5)
gradient descent
(4)
distributed learning
(2)
stochastic gradient
(2)
stochastic optimization
(2)
initialization scale
(2)
gradient flow
(2)
implicit bia
(2)
oracle complexity
(2)
lower bound
(2)
non-convex optimization
(2)
stochastic gradient descent
(2)
composite optimization
(1)
sample complexity
(1)
logistic regression
(1)
matrix factorization
(1)
neural tangent kernel
(1)
variance reduction
(1)
learning theory
(1)
Papers
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
NeurIPS 2022
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization
NeurIPS 2022
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
NeurIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization
NeurIPS 2021
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
COLT 2021
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NeurIPS 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning
NeurIPS 2020
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
NeurIPS 2018
The Everlasting Database: Statistical Validity at a Fair Price
NeurIPS 2018
Implicit Regularization in Matrix Factorization
NeurIPS 2017
Tight Complexity Bounds for Optimizing Composite Objectives
NeurIPS 2016