Yuancheng Zhu
7 papers · 2014–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer
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Cross-Pollinator
(13)
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Keyword Champion
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Unstoppable
(5)
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Trend Setter
Conferences
AISTATS (3)
NIPS (2)
ICML (1)
JMLR (1)
Top co-authors
Research topics
Keywords
convex optimization
(2)
gaussian graphical model
(2)
stochastic optimization
(1)
bayesian nonparametrics
(1)
variable selection
(1)
statistical inference
(1)
online learning
(1)
gibbs sampling
(1)
minimax estimation
(1)
uncertainty quantification
(1)
sample complexity
(1)
distributed learning
(1)
sparse estimation
(1)
gaussian process
(1)
fisher information
(1)
nonparametric bayesian
(1)
nonparametric regression
(1)
nonparametric estimation
(1)
stochastic gradient descent
(1)
statistical learning
(1)
Papers
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
JMLR 2023
Distributed Nonparametric Regression under Communication Constraints
ICML 2018
Learning Nonparametric Forest Graphical Models with Prior Information
AISTATS 2017
Local Minimax Complexity of Stochastic Convex Optimization
NIPS 2016
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models
AISTATS 2015
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
NIPS 2014
Adaptive Variable Clustering in Gaussian Graphical Models
AISTATS 2014