Joshua T. Vogelstein
7 papers · 2018–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(18)
β
The Questioner
Conferences
JMLR (5)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
community detection
(2)
adjacency matrix
(2)
spectral embedding
(2)
graph classification
(1)
empirical risk minimization
(1)
network analysis
(1)
network inference
(1)
hypothesis testing
(1)
activation function
(1)
graph inference
(1)
machine learning
(1)
distribution shift
(1)
stochastic blockmodel
(1)
multiview learning
(1)
stochastic block model
(1)
time series
(1)
random projection
(1)
random graph
(1)
pac learning
(1)
ensemble learning
(1)
Papers
Prospective Learning: Learning for a Dynamic Future
NIPS 2024
Why do networks have inhibitory/negative connections?
ICCV 2023
mvlearn: Multiview Machine Learning in Python
JMLR 2021
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace
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