Marten van Dijk
7 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5)
π
Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(13)
π
Keyword Champion
(2)
Conferences
ICML (2)
JMLR (2)
AISTATS (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
stochastic gradient descent
(4)
convergence rate
(2)
strongly convex optimization
(2)
convergence analysis
(2)
convex optimization
(1)
communication complexity
(1)
distributed learning
(1)
distributed optimization
(1)
optimization theory
(1)
asynchronous optimization
(1)
adversarial attack
(1)
learning rate
(1)
lower bound
(1)
shuffling strategy
(1)
heterogeneous datum
(1)
adversarial example
(1)
learning rate schedule
(1)
gradient method
(1)
mini-batch size
(1)
step size
(1)
Papers
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
ICML 2024
On the Robustness of Vision Transformers to Adversarial Examples
ICCV 2021
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
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
ICML 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
NIPS 2019
New Convergence Aspects of Stochastic Gradient Algorithms
JMLR 2019