Jeremy Bernstein
7 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (7) π Cross-Pollinator (8)
πΊοΈ
Taxonomy Completionist
(10)
Conferences
ICML (3)
NIPS (3)
ICLR (1)
Top co-authors
Keywords
learning rate tuning
(2)
distributed optimization
(1)
neural network optimization
(1)
neural architecture
(1)
gradient descent
(1)
projected gradient descent
(1)
learning rate
(1)
gradient compression
(1)
weight decay
(1)
modular norm
(1)
weight normalization
(1)
gradient lipshitz continuity
(1)
multiplicative weight update
(1)
compositional function
(1)
gradient lipschitz continuity
(1)
learning rate transfer
(1)
deep learning scaling
(1)
parameter distance
(1)
gradient breakdown
(1)
deep relative trust
(1)
Papers
Modular Duality in Deep Learning
ICML 2025
Scalable Optimization in the Modular Norm
NIPS 2024
Learning by Turning: Neural Architecture Aware Optimisation
ICML 2021
On the distance between two neural networks and the stability of learning
NIPS 2020
Learning compositional functions via multiplicative weight updates
NIPS 2020
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
ICLR 2019
signSGD: Compressed Optimisation for Non-Convex Problems
ICML 2018