← Authors

Keith Levin

9 papers · 2016–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (16) πŸ† Keyword Champion (2)

Conferences

JMLR (5) AISTATS (1) ICML (1) INTERSPEECH (1) NIPS (1)

Top co-authors

Carey E. Priebe (3) Vince Lyzinski (3) Hao Yan (2) Donniell E. Fishkind (2) Karen Livescu (1) Avanti Athreya (1) Joshua T. Vogelstein (1) Herman Kamper (1) Daniel L Sussman (1) Elizaveta Levina (1)

Research topics

Statistics (1)

Keywords

network analysis (3) random dot product graph (2) stochastic block model (2) maximum likelihood (2) graph matching (2) spectral embedding (2) vertex nomination (2) graph inference (1) dynamic time warping (1) low-rank matrix (1) latent position (1) eigenvector estimation (1) matrix estimation (1) statistical learning (1) social network (1) causal effect (1) spectral method (1) recurrent neural network (1) hypothesis test (1) adjacency matrix (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 NIPS 2024
Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022
On Consistent Vertex Nomination Schemes JMLR 2019
Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018
Out-of-sample extension of graph adjacency spectral embedding ICML 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