Blake Woodworth
14 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🧬
Topic Evolution
🗃️
Keyword Collector
(60)
💎
Century Club
(14)
🔥
Unstoppable
(5)
📈
Trend Setter
❓
The Questioner
Conferences
COLT (6)
ICML (4)
AISTATS (2)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
convex optimization
(3)
gradient descent
(2)
oracle complexity
(2)
stochastic gradient descent
(2)
constrained optimization
(1)
natural gradient
(1)
non-convex optimization
(1)
distributed optimization
(1)
algorithmic fairness
(1)
computational complexity
(1)
fourier analysis
(1)
recursive regularization
(1)
natural gradient descent
(1)
statistical query
(1)
sample complexity
(1)
sample efficiency
(1)
linear regression
(1)
stochastic gradient
(1)
minimax complexity
(1)
federated learning
(1)
Papers
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
ICLR 2025
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability
ICML 2025
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
ICML 2023
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)
IJCAI 2022
Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares
COLT 2022
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
AISTATS 2021
Is Local SGD Better than Minibatch SGD?
ICML 2020
The Gradient Complexity of Linear Regression
COLT 2020
Kernel and Rich Regimes in Overparametrized Models
COLT 2020
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
AISTATS 2020
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory
COLT 2019
The Complexity of Making the Gradient Small in Stochastic Convex Optimization
COLT 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
ICML 2019
Learning Non-Discriminatory Predictors
COLT 2017