Huiyan Sang
8 papers · 2021–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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The Questioner
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Trend Setter
Venues
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Research topics
Machine Learning
(8)
Core Methods
(6)
Optimization & Theory
(6)
Bayesian & Probabilistic · Machine Learning
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Data Science & Analytics
(1)
Applications
(1)
Learning Types
(1)
Mathematics
(1)
Optimization
(1)
Keywords
markov chain monte carlo
(3)
bayesian inference
(3)
nonparametric regression
(2)
model selection
(1)
sparse approximation
(1)
gaussian processes
(1)
variational inference
(1)
point process
(1)
kullback-leibler divergence
(1)
high-dimensional regression
(1)
manifold learning
(1)
multivariate analysis
(1)
semiparametric estimation
(1)
hierarchical model
(1)
stochastic gradient descent
(1)
stochastic process
(1)
manifold regression
(1)
structured sparsity
(1)
metropolis-hastings algorithm
(1)
bayesian clustering
(1)
Papers
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization
ICML 2023
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
ICML 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
NeurIPS 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models
ICML 2022
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables
JMLR 2021
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
NeurIPS 2021
Row-clustering of a Point Process-valued Matrix
NeurIPS 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
NeurIPS 2021