Joshua T. Vogelstein
7 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(4)
Mathematics & Optimization
(3)
Mathematics
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Applications · Computer Science
(2)
Applications · Data Science & Analytics
(2)
Learning Types
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Application Areas
(1)
Architectures
(1)
Statistics
(1)
Keywords
community detection
(2)
spectral embedding
(2)
stochastic block model
(2)
adjacency matrix
(2)
empirical risk minimization
(1)
network analysis
(1)
time series
(1)
hypothesis testing
(1)
network inference
(1)
multi-view learning
(1)
graph inference
(1)
machine learning
(1)
distribution shift
(1)
random projection
(1)
random graph
(1)
activation function
(1)
multi-view data
(1)
heterogeneous network
(1)
hypothesis test
(1)
random forest
(1)
Papers
Prospective Learning: Learning for a Dynamic Future
NeurIPS 2024
Why do networks have inhibitory/negative connections?
ICCV 2023
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace
JMLR 2021
mvlearn: Multiview Machine Learning in Python
JMLR 2021
Sparse Projection Oblique Randomer Forests
JMLR 2020
GraSPy: Graph Statistics in Python
JMLR 2019
Statistical Inference on Random Dot Product Graphs: a Survey
JMLR 2018