Wenbin Lu
15 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(13)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(83)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Core AI
(8)
Optimization & Theory
(7)
Core Methods
(6)
Learning Types
(6)
Mathematics & Optimization
(5)
Application Areas
(4)
Knowledge & Reasoning
(3)
Mathematics
(3)
Healthcare & Medicine
(2)
Reinforcement Learning
(2)
Clinical
(2)
Reasoning
(2)
Data Science & Analytics
(1)
Keywords
causal inference
(4)
off-policy evaluation
(3)
statistical inference
(2)
continuous treatment
(2)
optimal treatment regime
(2)
false discovery rate
(1)
model selection
(1)
reinforcement learning
(1)
sequential decision making
(1)
dynamic programming
(1)
causal effect estimation
(1)
causal structure learning
(1)
community detection
(1)
online decision making
(1)
relational learning
(1)
sparse regression
(1)
statistical testing
(1)
hypothesis testing
(1)
markov decision process
(1)
decision making
(1)
Papers
Efficient Causal Decision Making with One-sided Feedback
ICLR 2025
Linear Contextual Bandits With Interference
ICML 2025
Off-Policy Evaluation under Nonignorable Missing Data
ICML 2025
Distributed Community Detection in Large Networks
JMLR 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments
JMLR 2023
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
ICML 2023
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
ICLR 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
NeurIPS 2021
A New Framework for Online Testing of Heterogeneous Treatment Effect
AAAI 2020
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes
JMLR 2020
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
ICML 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
ICML 2020
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
JMLR 2019
Sparse Concordance-assisted Learning for Optimal Treatment Decision
JMLR 2018