Kleinberg, Jon

20 publications

TMLR 2026 Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Zhenwei Tang, Difan Jiao, Eric Xue, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

NeurIPS 2025 Modeling the Economic Impacts of AI Openness Regulation Tori Qiu, Benjamin Laufer, Jon Kleinberg, Hoda Heidari

ICML 2025 Sparse Autoencoders for Hypothesis Generation Rajiv Movva, Kenny Peng, Nikhil Garg, Jon Kleinberg, Emma Pierson

NeurIPS 2025 What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models Keyon Vafa, Sarah Bentley, Jon Kleinberg, Sendhil Mullainathan

NeurIPSW 2024 Designing Algorithmic Delegates Sophie Greenwood, Karen Levy, Solon Barocas, Jon Kleinberg, Hoda Heidari

ICLR 2024 Designing Skill-Compatible AI: Methodologies and Frameworks in Chess Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson

NeurIPS 2024 Evaluating the World Model Implicit in a Generative Model Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan

ICLR 2024 From Graphs to Hypergraphs: Hypergraph Projection and Its Reconstruction Yanbang Wang, Jon Kleinberg

NeurIPS 2024 Language Generation in the Limit Jon Kleinberg, Sendhil Mullainathan

NeurIPS 2024 Maia-2: A Unified Model for Human-AI Alignment in Chess Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

NeurIPS 2024 Microstructures and Accuracy of Graph Recall by Large Language Models Yanbang Wang, Hejie Cui, Jon Kleinberg

JMLR 2023 Augmented Sparsifiers for Generalized Hypergraph Cuts Nate Veldt, Austin R. Benson, Jon Kleinberg

UAI 2021 Stochastic Model for Sunk Cost Bias Jon Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar

ICML 2019 Direct Uncertainty Prediction for Medical Second Opinions Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Bobby Kleinberg, Sendhil Mullainathan, Jon Kleinberg

NeurIPS 2019 Transfusion: Understanding Transfer Learning for Medical Imaging Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio

ICML 2018 Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? Maithra Raghu, Alex Irpan, Jacob Andreas, Bobby Kleinberg, Quoc Le, Jon Kleinberg

NeurIPS 2018 Found Graph Data and Planted Vertex Covers Austin R Benson, Jon Kleinberg

NeurIPS 2017 On Fairness and Calibration Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, Kilian Q. Weinberger

ICML 2017 On the Expressive Power of Deep Neural Networks Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein

JMLR 2010 Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, Zoubin Ghahramani