James L Sharpnack
4 papers · 2013–2019 · 1 venue · across top CS/AI venues
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Achievements
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
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Trend Setter
Venues
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Research topics
Keywords
submodular optimization
(1)
change point detection
(1)
stochastic gradient descent
(1)
anomaly detection
(1)
change detection
(1)
graph anomaly detection
(1)
nonparametric statistics
(1)
nonparametric estimation
(1)
parameter sharing
(1)
minimax theory
(1)
total variation
(1)
scan statistic
(1)
graph signal processing
(1)
generalized likelihood ratio
(1)
electrical network theory
(1)
fused lasso
(1)
markov random field
(1)
likelihood ratio test
(1)
trend filtering
(1)
graph-structured data
(1)
Papers
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
NeurIPS 2019
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
NeurIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
NeurIPS 2017
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
NeurIPS 2013