Ard A. Louis
4 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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The Questioner
Venues
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Research topics
Keywords
neural network
(3)
gaussian process
(2)
generalization error
(2)
kernel regression
(1)
bayesian posterior
(1)
random matrix theory
(1)
pac-bayes bound
(1)
deep neural network
(1)
scaling law
(1)
training dynamics
(1)
feature covariance
(1)
algorithmic information theory
(1)
overparameterized regime
(1)
double-descent curve
(1)
stochastic gradient descent
(1)
sigmoid emergence
(1)
multi-task learning
(1)
theoretical analysis
(1)
Papers
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
NeurIPS 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes
AAAI 2024
Is SGD a Bayesian sampler? Well, almost
JMLR 2021
Deep learning generalizes because the parameter-function map is biased towards simple functions
ICLR 2019