Ben Dai
5 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(5)
π
Trend Setter
Conferences
JMLR (2)
CLEAR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(1)
semantic segmentation
(1)
image segmentation
(1)
convex optimization
(1)
matrix factorization
(1)
collaborative filtering
(1)
deep learning
(1)
empirical risk minimization
(1)
nonlinear regression
(1)
quantile regression
(1)
sliced inverse regression
(1)
bayes consistency
(1)
linear convergence
(1)
support vector machine
(1)
latent factor model
(1)
recommender system
(1)
alternating least square
(1)
genome-wide association study
(1)
instrumental variable
(1)
intersection over union
(1)
Papers
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
ICML 2025
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
CLEAR 2024
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
NIPS 2023
RankSEG: A Consistent Ranking-based Framework for Segmentation
JMLR 2023
Smooth neighborhood recommender systems
JMLR 2019