David Jensen
11 papers · 2007–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(5)
❓
The Questioner
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(54)
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(8)
Machine Learning
(7)
Learning Types
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Knowledge & Reasoning
(2)
Core Methods
(2)
Optimization & Theory
(2)
Reasoning
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Methods
(1)
Keywords
causal inference
(4)
observational data
(3)
latent confounder
(2)
treatment effect
(2)
graphical model
(2)
evaluation framework
(1)
text analysis
(1)
probabilistic modeling
(1)
likelihood ratio
(1)
saliency map
(1)
empirical evaluation
(1)
fraud detection
(1)
observational study
(1)
generative model
(1)
uncertainty quantification
(1)
structural equation model
(1)
posterior inference
(1)
hierarchical bayesian model
(1)
social network
(1)
multi-armed bandit
(1)
Papers
Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
CLeaR 2026
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
CLeaR 2026
Compositional Models for Estimating Causal Effects
CLeaR 2025
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
ICML 2021
Causal Inference using Gaussian Processes with Structured Latent Confounders
ICML 2020
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
ICLR 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
ACL 2020
Object Conditioning for Causal Inference
UAI 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
NeurIPS 2019
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
ICML 2013
Relational Dependency Networks
JMLR 2007