HaiYing Wang
7 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6) π Cross-Pollinator (7)
πΊοΈ
Taxonomy Completionist
(12)
π
Keyword Champion
(3)
Conferences
JMLR (3)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
optimal subsampling
(4)
inverse probability weighting
(3)
imbalanced datum
(2)
variance reduction
(2)
logistic regression
(2)
machine learning
(1)
likelihood estimation
(1)
maximum likelihood estimation
(1)
sparse model
(1)
generalized linear model
(1)
asymptotic normality
(1)
prediction error
(1)
imbalanced learning
(1)
conditional likelihood
(1)
asymptotic distribution
(1)
poisson subsampling
(1)
negative sampling
(1)
informative subsampling
(1)
rare event
(1)
adaptive lasso
(1)
Papers
Optimal subsampling for high-dimensional partially linear models via machine learning methods
JMLR 2025
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
NIPS 2024
Maximum sampled conditional likelihood for informative subsampling
JMLR 2022
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
AISTATS 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
NIPS 2021
Logistic Regression for Massive Data with Rare Events
ICML 2020
More Efficient Estimation for Logistic Regression with Optimal Subsamples
JMLR 2019