Liam Hodgkinson
19 papers
· 2021–2025
· 7 conferences
· across top CS/AI conferences
Achievements
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Hot Topic Early Bird
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Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(30)
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Cross-Pollinator
(13)
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Interdisciplinary Bridge
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Keyword Pioneer
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Dynamic Duo
(12)
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Triple Crown
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Keyword Champion
(2)
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Century Club
(19)
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Prolific Year
(9)
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The Questioner
(2)
ποΈ
Keyword Collector
(84)
π₯
Unstoppable
(5)
Conferences
ICML (6)
NIPS (6)
UAI (3)
AISTATS (1)
COLT (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
neural network
(3)
stochastic differential equation
(3)
stochastic optimization
(2)
error rate
(2)
double descent
(2)
neural network optimization
(2)
heavy-tailed distribution
(2)
markov chain monte carlo
(2)
variational inference
(2)
ensemble learning
(2)
non-convex optimization
(2)
generalization bound
(2)
majority vote
(2)
batch normalization
(1)
stochastic gradient descent
(1)
uncertainty quantification
(1)
density estimation
(1)
langevin dynamics
(1)
gaussian process
(1)
image classification
(1)
Papers
How many classifiers do we need?
NIPS 2024
When are ensembles really effective?
NIPS 2023
Shadow Manifold Hamiltonian Monte Carlo
AISTATS 2021
Lipschitz Recurrent Neural Networks
ICLR 2021
Noisy Recurrent Neural Networks
NIPS 2021