Moshe Tennenholtz
20 papers · 2002–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (23) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(9)
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(6)
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Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Grand Slam
π₯
Unstoppable
(5)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(19)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(78)
Conferences
AAAI (9)
IJCAI (3)
NIPS (3)
ICLR (2)
ICML (2)
JMLR (1)
Top co-authors
Keywords
game theory
(8)
nash equilibrium
(4)
recommendation system
(4)
mechanism design
(4)
multi-agent system
(3)
information retrieval
(3)
content creation
(2)
strategic behavior
(2)
recommender system
(2)
learning dynamics
(2)
pure nash equilibrium
(2)
machine learning
(1)
risk-aware learning
(1)
algorithm design
(1)
model-based reinforcement learning
(1)
exploration exploitation
(1)
fiduciary bandits
(1)
online learning
(1)
exploration-exploitation tradeoff
(1)
bayesian analysis
(1)
Papers
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
AAAI 2026
On the Power of Strategic Corpus Enrichment in Content Creation Games
AAAI 2025
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
ICLR 2025
STEER: Assessing the Economic Rationality of Large Language Models
ICML 2024
Mediated Cheap Talk Design
AAAI 2023
Protecting the Protected Group: Circumventing Harmful Fairness
AAAI 2021
PMI-Masking: Principled masking of correlated spans
ICLR 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
NIPS 2020
Designing Committees for Mitigating Biases
AAAI 2020
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis
AAAI 2020
Incentive-Compatible Classification
AAAI 2020
Fiduciary Bandits
ICML 2020
Predicting Strategic Behavior from Free Text (Extended Abstract)
IJCAI 2020
From Recommendation Systems to Facility Location Games
AAAI 2019
Convergence of Learning Dynamics in Information Retrieval Games
AAAI 2019
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
NIPS 2018
Best Response Regression
NIPS 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