Xavier Fontaine
6 papers · 2019–2023 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
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The Questioner
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Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Deep Learning
(2)
Core Methods
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Architectures
(1)
Clinical
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
convergence rate
(2)
stochastic gradient descent
(2)
active learning
(1)
mean field theory
(1)
non-convex optimization
(1)
convex optimization
(1)
multilingual nlp
(1)
resource allocation
(1)
cross-lingual transfer
(1)
named entity recognition
(1)
convergence analysis
(1)
continuous-time approximation
(1)
regret minimization
(1)
covariance matrix
(1)
optimal experimental design
(1)
machine translation
(1)
linear regression
(1)
margin condition
(1)
optimal design
(1)
stochastic optimization
(1)
Papers
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
ACL 2023
Convergence rates and approximation results for SGD and its continuous-time counterpart
COLT 2021
Online A-Optimal Design and Active Linear Regression
ICML 2021
An adaptive stochastic optimization algorithm for resource allocation
ALT 2020
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
NeurIPS 2020
Regularized Contextual Bandits
AISTATS 2019