Jon Kleinberg
30 papers · 2010–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(12)
πΊοΈ
Taxonomy Completionist
(59)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(9)
π
Conference Pioneer
β
The Questioner
ποΈ
Keyword Collector
(153)
π
Century Club
(29)
π
Trend Setter
π₯
Unstoppable
(9)
Conferences
AAAI (11)
NIPS (7)
ICML (4)
ICLR (2)
IJCAI (2)
JMLR (2)
ACL (1)
UAI (1)
Top co-authors
Keywords
instant runoff voting
(3)
exclusion zone
(2)
electoral system
(2)
binary classification
(2)
neural network
(2)
game theory
(2)
medical imaging
(2)
learning theory
(1)
deep reinforcement learning
(1)
network modeling
(1)
ensemble learning
(1)
domain adaptation
(1)
bounded rationality
(1)
graph theory
(1)
transfer learning
(1)
causal inference
(1)
model evaluation
(1)
batch normalization
(1)
knowledge representation
(1)
attention mechanism
(1)
Papers
Exclusion Zones of Instant Runoff Voting
AAAI 2026
A No Free Lunch Theorem for Human-AI Collaboration
AAAI 2025
Private Blotto: Viewpoint Competition with Polarized Agents
AAAI 2025
Replicating Electoral Success
AAAI 2025
Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract)
AAAI 2025
Sparse Autoencoders for Hypothesis Generation
ICML 2025
Microstructures and Accuracy of Graph Recall by Large Language Models
NIPS 2024
The Moderating Effect of Instant Runoff Voting
AAAI 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
On the Actionability of Outcome Prediction
AAAI 2024
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
ICLR 2024
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
ICLR 2024
Maia-2: A Unified Model for Human-AI Alignment in Chess
NIPS 2024
Evaluating the World Model Implicit in a Generative Model
NIPS 2024
Language Generation in the Limit
NIPS 2024
Augmented Sparsifiers for Generalized Hypergraph Cuts
JMLR 2023
Ballot Length in Instant Runoff Voting
AAAI 2023
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract)
IJCAI 2022
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
AAAI 2021
Stochastic model for sunk cost bias
UAI 2021
Subsidy Allocations in the Presence of Income Shocks
AAAI 2020
Transfusion: Understanding Transfer Learning for Medical Imaging
NIPS 2019
Direct Uncertainty Prediction for Medical Second Opinions
ICML 2019
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
ICML 2018
Found Graph Data and Planted Vertex Covers
NIPS 2018
On Fairness and Calibration
NIPS 2017
On the Expressive Power of Deep Neural Networks
ICML 2017
Computational Perspectives on Social Phenomena at Global Scales
IJCAI 2013
You Had Me at Hello: How Phrasing Affects Memorability
ACL 2012
Kronecker Graphs: An Approach to Modeling Networks
JMLR 2010