Moshe Tennenholtz
20 papers · 2002–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(96)
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(12)
Mathematics & Optimization
(8)
Optimization
(8)
Application Areas
(7)
Data Science & Analytics
(4)
Applications
(4)
Learning Types
(4)
Natural Language Processing
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Science
(1)
Keywords
game theory
(8)
nash equilibrium
(4)
mechanism design
(4)
recommendation system
(4)
multi-agent system
(3)
information retrieval
(3)
strategic behavior
(2)
recommender system
(2)
learning dynamics
(2)
pure nash equilibrium
(2)
content creation
(2)
model-based reinforcement learning
(1)
fiduciary bandits
(1)
machine learning
(1)
exploration exploitation
(1)
masked language model
(1)
online learning
(1)
natural language
(1)
exploration-exploitation tradeoff
(1)
pointwise mutual information
(1)
Papers
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
AAAI 2026
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
ICLR 2025
On the Power of Strategic Corpus Enrichment in Content Creation Games
AAAI 2025
STEER: Assessing the Economic Rationality of Large Language Models
ICML 2024
Mediated Cheap Talk Design
AAAI 2023
PMI-Masking: Principled masking of correlated spans
ICLR 2021
Protecting the Protected Group: Circumventing Harmful Fairness
AAAI 2021
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation
IJCAI 2021
Content Provider Dynamics and Coordination in Recommendation Ecosystems
NeurIPS 2020
Designing Committees for Mitigating Biases
AAAI 2020
Fiduciary Bandits
ICML 2020
Incentive-Compatible Classification
AAAI 2020
Predicting Strategic Behavior from Free Text (Extended Abstract)
IJCAI 2020
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis
AAAI 2020
Convergence of Learning Dynamics in Information Retrieval Games
AAAI 2019
From Recommendation Systems to Facility Location Games
AAAI 2019
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
NeurIPS 2018
Best Response Regression
NeurIPS 2017
How Robust Is the Wisdom of the Crowds?
IJCAI 2015
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
JMLR 2002