David Arbour
20 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(106)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(8)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Core AI
(12)
Learning Types
(7)
Knowledge & Reasoning
(5)
Mathematics & Optimization
(5)
Optimization & Theory
(5)
Reasoning
(5)
Deep Learning
(4)
Mathematics
(4)
Computer Vision
(3)
Application Areas
(3)
Core Methods
(3)
Data Science & Analytics
(2)
Reinforcement Learning
(2)
Keywords
causal inference
(7)
experimental design
(3)
graphical model
(3)
average treatment effect
(3)
relational causal model
(2)
importance sampling
(2)
reinforcement learning
(2)
causal discovery
(2)
randomized experiment
(2)
off-policy evaluation
(2)
feedback loop
(2)
determinantal point process
(2)
treatment effect
(2)
relational data
(2)
text summarization
(1)
image captioning
(1)
online learning
(1)
preference optimization
(1)
information retrieval
(1)
image generation
(1)
Papers
Evaluation and Incident Prevention in an Enterprise AI Assistant
AAAI 2025
Image Difference Captioning via Adversarial Preference Optimization
EMNLP 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
ACL 2025
Relational Causal Discovery with Latent Confounders
UAI 2025
Continuous Treatment Effects with Surrogate Outcomes
ICML 2024
Distributional Off-Policy Evaluation for Slate Recommendations
AAAI 2024
Editing Partially Observable Networks via Graph Diffusion Models
ICML 2024
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
NeurIPS 2023
Learning Relational Causal Models with Cycles through Relational Acyclification
AAAI 2023
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning
AAAI 2022
Generating and Controlling Diversity in Image Search
WACV 2022
Non-parametric inference of relational dependence
UAI 2022
Online Balanced Experimental Design
ICML 2022
Relational Causal Models with Cycles: Representation and Reasoning
CLeaR 2022
Sample Constrained Treatment Effect Estimation
NeurIPS 2022
Designing Transportable Experiments Under S-admissability
AISTATS 2021
Efficient Balanced Treatment Assignments for Experimentation
AISTATS 2021
Permutation Weighting
ICML 2021
Balanced Off-Policy Evaluation in General Action Spaces
AISTATS 2020
General Identification of Dynamic Treatment Regimes Under Interference
AISTATS 2020