Marten van Dijk
7 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(12)
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Research topics
Keywords
stochastic gradient descent
(4)
strongly convex optimization
(2)
convergence analysis
(2)
convergence rate
(2)
convex optimization
(1)
communication complexity
(1)
distributed learning
(1)
distributed optimization
(1)
gradient computation
(1)
optimization theory
(1)
asynchronous optimization
(1)
adversarial attack
(1)
learning rate
(1)
lower bound
(1)
shuffling strategy
(1)
heterogeneous data
(1)
privacy budget
(1)
adversarial example
(1)
learning rate schedule
(1)
gradient method
(1)
Papers
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
ICML 2024
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
JMLR 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
AISTATS 2021
On the Robustness of Vision Transformers to Adversarial Examples
ICCV 2021
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
ICML 2019
New Convergence Aspects of Stochastic Gradient Algorithms
JMLR 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
NeurIPS 2019