Benjamin Schiffer
5 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(13)
Venues
Research topics
Artificial Intelligence
(4)
Core AI
(4)
Machine Learning
(3)
Reinforcement Learning
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications · Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Learning Types
(1)
Methods
(1)
Optimization
(1)
Keywords
fair division
(3)
regret bound
(2)
linear quadratic regulator
(1)
online reinforcement learning
(1)
no-regret learning
(1)
multi-armed bandit
(1)
online algorithm
(1)
fair allocation
(1)
safety constraint
(1)
linear dynamical system
(1)
bandit learning
(1)
large language model
(1)
multi-agent system
(1)
rent division
(1)
negotiated envy-freeness
(1)
universal envy-freeness
(1)
proportionality constraint
(1)
rlhf
(1)
approximate clones
(1)
robustness
(1)
Papers
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret
L4DC 2026
Clone-Robust AI Alignment
ICML 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning
AAAI 2025
Multi-Apartment Rent Division
AAAI 2025
Honor Among Bandits: No-Regret Learning for Online Fair Division
NeurIPS 2024