Ben Dai
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
๐บ๏ธ
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Keywords
causal inference
(1)
semantic segmentation
(1)
image segmentation
(1)
ensemble learning
(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)
surrogate loss
(1)
linear convergence
(1)
support vector machine
(1)
latent factor model
(1)
recommender system
(1)
alternating least square
(1)
genome-wide association study
(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
RankSEG: A Consistent Ranking-based Framework for Segmentation
JMLR 2023
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
NeurIPS 2023
Smooth neighborhood recommender systems
JMLR 2019