Tom Yan
9 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Triple Crown
π
Grand Slam
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Keyword Collector
(57)
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Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types
(5)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Core Methods
(2)
Methods
(2)
Knowledge & Reasoning
(1)
Applications
(1)
Learning Paradigms
(1)
Reasoning
(1)
Keywords
shapley value
(2)
multi-task learning
(1)
optimal policy
(1)
game theory
(1)
causal discovery
(1)
sample complexity
(1)
policy learning
(1)
data valuation
(1)
inverse reinforcement learning
(1)
mechanism design
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
reward function
(1)
machine learning
(1)
imitation learning
(1)
feature expectations
(1)
version space
(1)
query complexity
(1)
reward design
(1)
reinforcement learning
(1)
Papers
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning
NeurIPS 2024
Foundations of Testing for Finite-Sample Causal Discovery
ICML 2024
The Human-AI Substitution game: active learning from a strategic labeler
ICLR 2024
Active fairness auditing
ICML 2022
Margin-distancing for safe model explanation
AISTATS 2022
If You Like Shapley Then Youβll Love the Core
AAAI 2021
Inverse Reinforcement Learning From Like-Minded Teachers
AAAI 2021
Revenue maximization via machine learning with noisy data
NeurIPS 2021
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
NeurIPS 2020