Benjamin Edelman
4 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
Venues
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Research topics
Keywords
stochastic gradient descent
(2)
learning theory
(1)
lottery ticket hypothesis
(1)
sample efficiency
(1)
feature learning
(1)
neural network training
(1)
game theory
(1)
fourier analysis
(1)
neural network optimization
(1)
computational complexity
(1)
mutual information
(1)
linear regression
(1)
linear classifier
(1)
phase transition
(1)
strategic classification
(1)
classification task
(1)
multi-layer perceptron
(1)
decision rule
(1)
overparameterized regime
(1)
neural network
(1)
Papers
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
NeurIPS 2023
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
NeurIPS 2022
Causal Strategic Linear Regression
ICML 2020
SGD on Neural Networks Learns Functions of Increasing Complexity
NeurIPS 2019