Nicolas Tremblay
7 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (16) 🧬 Topic Evolution
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(6)
Core Methods
(5)
Mathematics
(5)
Data Science & Analytics
(3)
Applications
(3)
Learning Types
(3)
Optimization & Theory · Machine Learning
(3)
Computer Science
(2)
Foundations
(2)
Optimization
(2)
Deep Learning
(1)
Architectures
(1)
Optimization & Theory · Deep Learning
(1)
Probability
(1)
Keywords
spectral clustering
(4)
graph theory
(3)
community detection
(3)
stochastic block model
(2)
matrix analysis
(2)
determinantal point process
(2)
eigenvector analysis
(1)
random sampling
(1)
laplacian matrix
(1)
linear regression
(1)
coreset construction
(1)
graph signal processing
(1)
spectral decomposition
(1)
random graph
(1)
convergence guarantee
(1)
spectral algorithm
(1)
spectral method
(1)
leverage score sampling
(1)
rejection sampling
(1)
sampling algorithm
(1)
Papers
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs
JMLR 2024
A Faster Sampler for Discrete Determinantal Point Processes
AISTATS 2023
A Unified Framework for Spectral Clustering in Sparse Graphs
JMLR 2021
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
NeurIPS 2020
Determinantal Point Processes for Coresets
JMLR 2019
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
NeurIPS 2019
Compressive Spectral Clustering
ICML 2016