Jacob Bien
5 papers · 2010–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3)
π
Academic Marathon
(13)
π
Cross-Pollinator
(14)
π
Keyword Champion
(2)
Conferences
JMLR (3)
ICML (1)
NIPS (1)
Top co-authors
Keywords
sparse optimization
(2)
group lasso
(2)
ordinal regression
(1)
principal component analysis
(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)
sparse graphical model
(1)
convex regularization
(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
NIPS 2010