Nathan Srebro
84 papers
· 2008–2025
· 8 conferences
· across top CS/AI conferences
Achievements
πΊοΈ
Taxonomy Completionist
(28)
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Keyword Pioneer
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Conference Polyglot
(8)
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Cross-Pollinator
(8)
π£
Hot Topic Early Bird
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Academic Marathon
(17)
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
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Conference Loyalist
(20)
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Keyword Trendsetter Combo
(3)
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Keyword Champion
(2)
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Triple Crown
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(15)
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Century Club
(84)
ποΈ
Keyword Collector
(125)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable
(11)
β‘
Prolific Year
(10)
β
The Questioner
(4)
Conferences
COLT (20)
ICML (20)
NIPS (17)
AISTATS (11)
ICLR (7)
JMLR (5)
ALT (3)
IJCAI (1)
Top co-authors
Research topics
Keywords
convex optimization
(13)
gradient descent
(11)
sample complexity
(8)
neural network
(8)
stochastic gradient descent
(7)
implicit bia
(6)
stochastic optimization
(6)
representation learning
(5)
learning theory
(5)
communication efficiency
(4)
linear classifier
(4)
benign overfitting
(4)
separable datum
(4)
distributed optimization
(4)
empirical risk minimization
(4)
adversarial robustness
(3)
distributed learning
(3)
stochastic convex optimization
(3)
federated learning
(3)
collaborative filtering
(3)
Papers
PENCIL: Long Thoughts with Short Memory
ICML 2025
Shortest Program Interpolation Learning
COLT 2023
Transductive Robust Learning Guarantees
AISTATS 2022
Does Invariant Risk Minimization Capture Invariance?
AISTATS 2021
Is Local SGD Better than Minibatch SGD?
ICML 2020
Semi-Cyclic Stochastic Gradient Descent
ICML 2019
Convergence of Gradient Descent on Separable Data
AISTATS 2019
Learning Non-Discriminatory Predictors
COLT 2017
Reducing Label Complexity by Learning From Bags
AISTATS 2010
Smoothness, Low Noise and Fast Rates
NIPS 2010
Fast Rates for Regularized Objectives
NIPS 2008