Nick Whiteley
6 papers · 2021–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(6)
Core Methods
(4)
Mathematics & Optimization
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Learning Types
(2)
Mathematics
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Applications · Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Methods
(1)
Models
(1)
Keywords
graph representation learning
(2)
link prediction
(1)
approximate inference
(1)
manifold learning
(1)
bayesian inference
(1)
hierarchical clustering
(1)
sequential monte carlo
(1)
kernel smoothing
(1)
multinomial approximation
(1)
agglomerative clustering
(1)
spectral embedding
(1)
approximate bayesian computation
(1)
hidden markov model
(1)
state space model
(1)
probabilistic graphical model
(1)
tree structure
(1)
temporal coherence
(1)
factor graph
(1)
intensity function
(1)
node representation
(1)
Papers
Hierarchical clustering with dot products recovers hidden tree structure
NeurIPS 2023
Implications of sparsity and high triangle density for graph representation learning
AISTATS 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
NeurIPS 2023
Exploiting locality in high-dimensional Factorial hidden Markov models
JMLR 2022
Inference in Stochastic Epidemic Models via Multinomial Approximations
AISTATS 2021
Matrix factorisation and the interpretation of geodesic distance
NeurIPS 2021