Serena Booth
10 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
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(6)
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(10)
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AAAI (6)
CORL (1)
ICML (1)
IJCAI (1)
NAACL (1)
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reinforcement learning
(2)
preference learning
(1)
knowledge compilation
(1)
rationale extraction
(1)
interpretable machine learning
(1)
trajectory prediction
(1)
feature attribution
(1)
synthetic data generation
(1)
model interpretability
(1)
bayesian sampling
(1)
fair classification
(1)
reward function
(1)
saliency map
(1)
reward design
(1)
model evaluation
(1)
reward learning
(1)
bayesian posterior sampling
(1)
generative model
(1)
synthetic datum
(1)
motion planning
(1)
Papers
AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate
AAAI 2025
Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States
ICML 2025
Quality-Diversity Generative Sampling for Learning with Synthetic Data
AAAI 2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
AAAI 2023
The Irrationality of Neural Rationale Models
NAACL 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
AAAI 2021
RoCUS: Robot Controller Understanding via Sampling
CORL 2021
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
IJCAI 2019