Keith Levin
9 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(17)
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Research topics
Machine Learning
(7)
Core Methods
(6)
Mathematics & Optimization
(4)
Mathematics
(4)
Optimization & Theory
(4)
Application Areas
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Architectures
(1)
Core AI
(1)
Foundations
(1)
Reasoning
(1)
Statistics
(1)
Keywords
network analysis
(3)
stochastic block model
(2)
vertex nomination
(2)
spectral embedding
(2)
graph matching
(2)
low-rank matrix
(2)
maximum likelihood
(2)
random dot product graph
(2)
low-rank approximation
(1)
nearest neighbor search
(1)
out-of-sample extension
(1)
graph inference
(1)
matrix completion
(1)
dynamic time warping
(1)
eigenvalue estimation
(1)
hypothesis testing
(1)
community detection
(1)
latent position
(1)
eigenvector estimation
(1)
graph analysis
(1)
Papers
Estimating Network-Mediated Causal Effects via Principal Components Network Regression
JMLR 2025
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
AISTATS 2025
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
NeurIPS 2024
Recovering shared structure from multiple networks with unknown edge distributions
JMLR 2022
On Consistent Vertex Nomination Schemes
JMLR 2019
Out-of-sample extension of graph adjacency spectral embedding
ICML 2018
Statistical Inference on Random Dot Product Graphs: a Survey
JMLR 2018
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings
Interspeech 2017
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
JMLR 2016