Hana Chockler
10 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI Β· Artificial Intelligence
(7)
Machine Learning
(5)
Knowledge & Reasoning
(4)
Reasoning
(4)
Reinforcement Learning
(3)
Methods
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Types
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Core AI Β· Computer Vision
(1)
Domain-Specific
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(2)
actual causality
(2)
black-box model
(2)
causal inference
(2)
structural causal model
(2)
markov decision processes
(1)
algorithmic fairness
(1)
deep reinforcement learning
(1)
formal verification
(1)
formal methods
(1)
importance sampling
(1)
gradient descent
(1)
image classifier
(1)
counterfactual reasoning
(1)
state importance
(1)
explainable ai
(1)
safety verification
(1)
policy testing
(1)
importance-driven testing
(1)
decision theory
(1)
Papers
Differentiable Causal Search
CLeaR 2026
Counterfactual Influence in Markov Decision Processes
CLeaR 2025
Explaining Negative Classifications of AI Models in Tumor Diagnosis
UAI 2025
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
NeurIPS 2024
Quantifying Harm
IJCAI 2023
A Causal Analysis of Harm
NeurIPS 2022
On Testing for Discrimination Using Causal Models
AAAI 2022
Explanations for Occluded Images
ICCV 2021
Ranking Policy Decisions
NeurIPS 2021
Explaining Image Classifiers using Statistical Fault Localization
ECCV 2020