Maggie Makar
14 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Keyword Champion
(2)
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Renaissance Researcher
(7)
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The Questioner
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(77)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(11)
Core Methods
(6)
Application Areas
(5)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
causal inference
(5)
shortcut learning
(3)
conditional average treatment effect
(2)
offline reinforcement learning
(2)
causal effect estimation
(2)
distribution shift
(2)
factored action spaces
(2)
sample efficiency
(1)
domain generalization
(1)
strategic behavior detection
(1)
policy optimization
(1)
domain adaptation
(1)
decision making
(1)
causal discovery
(1)
variable selection
(1)
representation learning
(1)
hypothesis testing
(1)
neural network analysis
(1)
multi-agent learning
(1)
model behavior
(1)
Papers
Causal Discovery for Efficient Offline RL with Factored Action Spaces
CLeaR 2026
Hypothesis Testing the Circuit Hypothesis in LLMs
NeurIPS 2024
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints
AISTATS 2024
Offline Policy Evaluation and Optimization Under Confounding
AISTATS 2024
Partial identification of the maximum mean discrepancy with mismeasured data
UAI 2024
Whoβs Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
NeurIPS 2024
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups
MLHC 2023
Causally motivated multi-shortcut identification and removal
NeurIPS 2022
Causally motivated shortcut removal using auxiliary labels
AISTATS 2022
Learning Concept Credible Models for Mitigating Shortcuts
NeurIPS 2022
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
NeurIPS 2022
Exploiting structured data for learning contagious diseases under incomplete testing
ICML 2021
Estimation of Bounds on Potential Outcomes For Decision Making
ICML 2020
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
AAAI 2019