Jacob Bien
5 papers · 2010–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
group lasso
(2)
sparse optimization
(2)
ordinal regression
(1)
principal component analysis
(1)
matrix factorization
(1)
sparse estimation
(1)
class imbalance
(1)
low-rank approximation
(1)
covariance matrix
(1)
sparse regression
(1)
time series forecasting
(1)
precision matrix
(1)
matrix approximation
(1)
sparse pca
(1)
reconstruction error
(1)
cur decomposition
(1)
graphical lasso
(1)
gaussian graphical model
(1)
tree structure
(1)
randomized algorithm
(1)
Papers
Predicting Rare Events by Shrinking Towards Proportional Odds
ICML 2023
Tree-based Node Aggregation in Sparse Graphical Models
JMLR 2022
High Dimensional Forecasting via Interpretable Vector Autoregression
JMLR 2020
Learning Local Dependence In Ordered Data
JMLR 2017
CUR from a Sparse Optimization Viewpoint
NeurIPS 2010