Jiahe Lin
4 papers · 2016–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (7) π Cross-Pollinator (13)
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Interdisciplinary Bridge
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Taxonomy Completionist
(17)
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Trend Setter
Conferences
JMLR (3)
AISTATS (1)
Top co-authors
Keywords
maximum likelihood estimation
(2)
vector autoregressive model
(2)
vector autoregression
(2)
time series analysis
(2)
high-dimensional estimation
(1)
high-dimensional regression
(1)
likelihood estimation
(1)
penalized estimation
(1)
high dimensional regression
(1)
moment matching
(1)
gaussian graphical model
(1)
risk bound
(1)
high-dimensional datum
(1)
aleatoric uncertainty
(1)
high-dimensional setting
(1)
regression setting
(1)
factor-augmented model
(1)
regularized estimation
(1)
commodity price
(1)
macroeconomic indicator
(1)
Papers
Risk Bounds on Aleatoric Uncertainty Recovery
AISTATS 2023
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models
JMLR 2020
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models
JMLR 2017
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016