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Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged
  Gradient Method for Stochastic Optimization

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization

26 January 2021
Aaron Defazio
Samy Jelassi
    ODL
ArXivPDFHTML

Papers citing "Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization"

2 / 2 papers shown
Title
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
70
2
0
16 Feb 2025
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic
  Gradients
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
Lukas Balles
Philipp Hennig
46
163
0
22 May 2017
1