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ORCIDJon M. Kleinberg
Person information
- affiliation: Cornell University, Ithaca, USA
- award (2014): ACM - AAAI Allen Newell Award
- award (2011): Frederick W. Lanchester Prize
- award (2008): ACM Prize in Computing
- award (2006): Nevanlinna Prize
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2020 – today
- 2023
[c208]Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg:
Ballot Length in Instant Runoff Voting. AAAI 2023: 5841-5849- [c207]Marios Papachristou
, Siddhartha Banerjee, Jon M. Kleinberg:
Dynamic Interventions for Networked Contagions. WWW 2023: 3519-3529 - [c206]Kate Donahue, Jon M. Kleinberg:
Fairness in model-sharing games. WWW 2023: 3775-3783 - [i113]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Informational Diversity and Affinity Bias in Team Growth Dynamics. CoRR abs/2301.12091 (2023) - [i112]Jon M. Kleinberg, Emily Ryu, Éva Tardos:
Calibrated Recommendations for Users with Decaying Attention. CoRR abs/2302.03239 (2023) - [i111]Kate Donahue, Jon M. Kleinberg:
Private Blotto: Viewpoint Competition with Polarized Agents. CoRR abs/2302.14123 (2023) - [i110]Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg:
Moderation in instant runoff voting. CoRR abs/2303.09734 (2023) - [i109]Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg:
Reconciling the accuracy-diversity trade-off in recommendations. CoRR abs/2307.15142 (2023) - [i108]Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari:
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. CoRR abs/2308.04399 (2023) - [i107]Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On the Actionability of Outcome Prediction. CoRR abs/2309.04470 (2023) - 2022
- [j84]Jon M. Kleinberg, Sigal Oren:
Mechanisms for (Mis)allocating Scientific Credit. Algorithmica 84(2): 344-378 (2022) - [j83]Jon M. Kleinberg, Robert Kleinberg, Sigal Oren:
Optimal stopping with behaviorally biased agents: The role of loss aversion and changing reference points. Games Econ. Behav. 133: 282-299 (2022) - [j82]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. SIAM Rev. 64(3): 650-685 (2022) - [j81]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On modeling human perceptions of allocation policies with uncertain outcomes. SIGecom Exch. 20(1): 47-54 (2022) - [j80]Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis:
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search. ACM Trans. Knowl. Discov. Data 16(2): 33:1-33:34 (2022) - [c205]Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson:
Mimetic Models: Ethical Implications of AI that Acts Like You. AIES 2022: 479-490 - [c204]Benjamin Laufer, Sameer Jain, A. Feder Cooper, Jon M. Kleinberg, Hoda Heidari:
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects. FAccT 2022: 401-426 - [c203]Hoda Heidari, Jon M. Kleinberg:
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract). IJCAI 2022: 5289-5293 - [c202]Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Learning Models of Individual Behavior in Chess. KDD 2022: 1253-1263 - [c201]Marios Papachristou, Jon M. Kleinberg:
Core-periphery Models for Hypergraphs. KDD 2022: 1337-1347 - [c200]Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang:
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. NeurIPS 2022 - [c199]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. EC 2022: 29 - [c198]Rediet Abebe, Nicole Immorlica, Jon M. Kleinberg, Brendan Lucier, Ali Shirali:
On the Effect of Triadic Closure on Network Segregation. EC 2022: 249-284 - [c197]Marios Papachristou, Jon M. Kleinberg:
Allocating Stimulus Checks in Times of Crisis. WWW 2022: 16-26 - [d1]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Combinatorial Measures of Higher-order Homophily for Group Interaction Datasets. Zenodo, 2022
- [i106]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. CoRR abs/2202.11776 (2022) - [i105]Jon M. Kleinberg, Emily Ryu, Éva Tardos:
Ordered Submodularity and its Applications to Diversifying Recommendations. CoRR abs/2203.00233 (2022) - [i104]Marios Papachristou, Siddhartha Banerjee, Jon M. Kleinberg:
Dynamic Interventions for Networked Contagions. CoRR abs/2205.13394 (2022) - [i103]Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang:
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. CoRR abs/2205.13647 (2022) - [i102]Rediet Abebe, Nicole Immorlica, Jon M. Kleinberg, Brendan Lucier, Ali Shirali:
On the Effect of Triadic Closure on Network Segregation. CoRR abs/2205.13658 (2022) - [i101]Marios Papachristou, Jon M. Kleinberg:
Core-periphery Models for Hypergraphs. CoRR abs/2206.00783 (2022) - [i100]Benjamin Laufer, Sameer Jain, A. Feder Cooper, Jon M. Kleinberg, Hoda Heidari:
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects. CoRR abs/2206.06738 (2022) - [i99]Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg:
Ballot length in instant runoff voting. CoRR abs/2207.08958 (2022) - [i98]Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson:
Mimetic Models: Ethical Implications of AI that Acts Like You. CoRR abs/2207.09394 (2022) - [i97]Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. CoRR abs/2208.01366 (2022) - [i96]Jonas L. Juul, Austin R. Benson, Jon M. Kleinberg:
Hypergraph patterns and collaboration structure. CoRR abs/2210.02163 (2022) - [i95]Katherine Van Koevering, Yiquan Hong, Jon M. Kleinberg:
Exporting Geography Into A Virtual Landscape: A Global Pandemic Locally Discussed. CoRR abs/2210.07187 (2022) - [i94]Michela Meister, Jon M. Kleinberg:
Containing the spread of a contagion on a tree. CoRR abs/2210.13247 (2022) - [i93]Yanbang Wang, Jon M. Kleinberg:
Supervised Hypergraph Reconstruction. CoRR abs/2211.13343 (2022) - 2021
- [j79]Jon M. Kleinberg, Manish Raghavan:
Algorithmic monoculture and social welfare. Proc. Natl. Acad. Sci. USA 118(22): e2018340118 (2021) - [c196]Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. AAAI 2021: 5303-5311 - [c195]Hoda Heidari, Jon M. Kleinberg:
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility. FAccT 2021: 15-25 - [c194]Cazamere Comrie, Jon M. Kleinberg:
Hypergraph Ego-networks and Their Temporal Evolution. ICDM 2021: 91-100 - [c193]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
The Generalized Mean Densest Subgraph Problem. KDD 2021: 1604-1614 - [c192]Kate Donahue, Jon M. Kleinberg:
Optimality and Stability in Federated Learning: A Game-theoretic Approach. NeurIPS 2021: 1287-1298 - [c191]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. NeurIPS 2021: 3744-3756 - [c190]Reid McIlroy-Young, Yu Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. NeurIPS 2021: 24482-24497 - [c189]Jason Gaitonde, Jon M. Kleinberg, Éva Tardos:
Polarization in Geometric Opinion Dynamics. EC 2021: 499-519 - [c188]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. EC 2021: 589-609 - [c187]Jon M. Kleinberg, Robert Kleinberg, Sigal Oren:
Optimal Stopping with Behaviorally Biased Agents: The Role of Loss Aversion and Changing Reference Points. EC 2021: 681-682 - [c186]Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity creates inequity: implications for fairness, stereotypes, and interpretability (invited paper). STOC 2021: 7 - [c185]Jon M. Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar:
Stochastic model for sunk cost bias. UAI 2021: 1279-1288 - [c184]Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. WWW 2021: 367-378 - [i92]Jon M. Kleinberg, Manish Raghavan:
Algorithmic Monoculture and Social Welfare. CoRR abs/2101.05853 (2021) - [i91]Hoda Heidari, Jon M. Kleinberg:
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility. CoRR abs/2101.08451 (2021) - [i90]Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. CoRR abs/2102.12604 (2021) - [i89]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. CoRR abs/2103.05827 (2021) - [i88]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Higher-order Homophily is Combinatorially Impossible. CoRR abs/2103.11818 (2021) - [i87]Jon M. Kleinberg, Robert Kleinberg, Sigal Oren:
Optimal Stopping with Behaviorally Biased Agents: The Role of Loss Aversion and Changing Reference Points. CoRR abs/2106.00604 (2021) - [i86]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
The Generalized Mean Densest Subgraph Problem. CoRR abs/2106.00909 (2021) - [i85]Marios Papachristou, Jon M. Kleinberg:
Allocating Stimulus Checks in Times of Crisis. CoRR abs/2106.07560 (2021) - [i84]Kate Donahue, Jon M. Kleinberg:
Optimality and Stability in Federated Learning: A Game-theoretic Approach. CoRR abs/2106.09580 (2021) - [i83]Jon M. Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar:
Stochastic Model for Sunk Cost Bias. CoRR abs/2106.11003 (2021) - [i82]Jason Gaitonde, Jon M. Kleinberg, Éva Tardos:
Polarization in Geometric Opinion Dynamics. CoRR abs/2106.12459 (2021) - [i81]Anna Evtushenko, Jon M. Kleinberg:
The Paradox of Second-Order Homophily in Networks. CoRR abs/2107.07751 (2021) - [i80]Michela Meister, Jon M. Kleinberg:
Optimizing the order of actions in contact tracing. CoRR abs/2107.09803 (2021) - [i79]Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg:
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. CoRR abs/2107.11468 (2021) - [i78]Chiyuan Zhang, Maithra Raghu, Jon M. Kleinberg, Samy Bengio:
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization. CoRR abs/2107.12580 (2021) - [i77]Anna Evtushenko, Jon M. Kleinberg:
Node-based Generalized Friendship Paradox fails. CoRR abs/2110.11821 (2021) - [i76]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. CoRR abs/2110.14859 (2021) - [i75]Kate Donahue, Jon M. Kleinberg:
Models of fairness in federated learning. CoRR abs/2112.00818 (2021) - [i74]Cazamere Comrie, Jon M. Kleinberg:
Hypergraph Ego-networks and Their Temporal Evolution. CoRR abs/2112.03498 (2021) - 2020
- [j78]Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Algorithms as discrimination detectors. Proc. Natl. Acad. Sci. USA 117(48): 30096-30100 (2020) - [j77]Jon M. Kleinberg, Manish Raghavan:
Algorithmic classification and strategic effort. SIGecom Exch. 18(2): 45-52 (2020) - [j76]Jon M. Kleinberg, Manish Raghavan:
How Do Classifiers Induce Agents to Invest Effort Strategically? ACM Trans. Economics and Comput. 8(4): 19:1-19:23 (2020) - [c183]Rediet Abebe, Jon M. Kleinberg, S. Matthew Weinberg:
Subsidy Allocations in the Presence of Income Shocks. AAAI 2020: 7032-7039 - [c182]Jon M. Kleinberg, Manish Raghavan:
Designing Evaluation Rules That Are Robust to Strategic Behavior. AAAI 2020: 13673-13676 - [c181]Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for computing in social change. FAT* 2020: 252-260 - [c180]Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Mitigating bias in algorithmic hiring: evaluating claims and practices. FAT* 2020: 469-481 - [c179]Kate Donahue, Jon M. Kleinberg:
Fairness and utilization in allocating resources with uncertain demand. FAT* 2020: 658-668 - [c178]Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Aligning Superhuman AI with Human Behavior: Chess as a Model System. KDD 2020: 1677-1687 - [c177]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Minimizing Localized Ratio Cut Objectives in Hypergraphs. KDD 2020: 1708-1718 - [c176]Jason Gaitonde, Jon M. Kleinberg, Éva Tardos:
Adversarial Perturbations of Opinion Dynamics in Networks. EC 2020: 471-472 - [c175]Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. WWW 2020: 606-616 - [i73]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. CoRR abs/2001.02817 (2020) - [i72]Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Localized Flow-Based Clustering in Hypergraphs. CoRR abs/2002.09441 (2020) - [i71]Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. CoRR abs/2003.03612 (2020) - [i70]Jason Gaitonde, Jon M. Kleinberg, Éva Tardos:
Adversarial Perturbations of Opinion Dynamics in Networks. CoRR abs/2003.07010 (2020) - [i69]Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Aligning Superhuman AI and Human Behavior: Chess as a Model System. CoRR abs/2006.01855 (2020) - [i68]Austin R. Benson, Jon M. Kleinberg, Nate Veldt:
Augmented Sparsifiers for Generalized Hypergraph Cuts. CoRR abs/2007.08075 (2020) - [i67]Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Learning Personalized Models of Human Behavior in Chess. CoRR abs/2008.10086 (2020) - [i66]Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. CoRR abs/2010.00753 (2020) - [i65]Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis:
Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search. CoRR abs/2011.02583 (2020)
2010 – 2019
- 2019
- [j75]Daniel M. Romero, Brian Uzzi, Jon M. Kleinberg:
Social Networks under Stress: Specialized Team Roles and Their Communication Structure. ACM Trans. Web 13(1): 6:1-6:24 (2019) - [c174]Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. EC 2019: 807-808 - [c173]Jon M. Kleinberg, Manish Raghavan:
How Do Classifiers Induce Agents to Invest Effort Strategically? EC 2019: 825-844 - [c172]Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction for Medical Second Opinions. ICML 2019: 5281-5290 - [c171]Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS 2019: 3342-3352 - [c170]Austin R. Benson, Jon M. Kleinberg:
Link Prediction in Networks with Core-Fringe Data. WWW 2019: 94-104 - [i64]Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Discrimination in the Age of Algorithms. CoRR abs/1902.03731 (2019) - [i63]Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. CoRR abs/1902.07208 (2019) - [i62]Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan:
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR abs/1903.12220 (2019) - [i61]Ilya Amburg, Jon M. Kleinberg, Austin R. Benson:
Planted Hitting Set Recovery in Hypergraphs. CoRR abs/1905.05839 (2019) - [i60]Kate Donahue, Jon M. Kleinberg:
Fairness and Utilization in Allocating Resources with Uncertain Demand. CoRR abs/1906.09050 (2019) - [i59]Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. CoRR abs/1906.09208 (2019) - [i58]Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
Measuring the Completeness of Theories. CoRR abs/1910.07022 (2019) - [i57]Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for Computing in Social Change. CoRR abs/1912.04883 (2019) - 2018
- [j74]Jon M. Kleinberg, Sigal Oren:
Time-inconsistent planning: a computational problem in behavioral economics. Commun. ACM 61(3): 99-107 (2018) - [j73]Flavio Chierichetti, Jon M. Kleinberg, Sigal Oren:
On discrete preferences and coordination. J. Comput. Syst. Sci. 93: 11-29 (2018) - [j72]Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg:
Simplicial closure and higher-order link prediction. Proc. Natl. Acad. Sci. USA 115(48): E11221-E11230 (2018) - [j71]Jon M. Kleinberg, Maithra Raghu:
Team Performance with Test Scores. ACM Trans. Economics and Comput. 6(3-4): 17:1-17:26 (2018) - [c169]Rediet Abebe, Lada A. Adamic, Jon M. Kleinberg:
Mitigating Overexposure in Viral Marketing. AAAI 2018: 241-248 - [c168]Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg:
Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games? ICLR (Workshop) 2018 - [c167]Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg:
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML 2018: 4235-4243 - [c166]Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic:
Do Diffusion Protocols Govern Cascade Growth? ICWSM 2018: 32-41 - [c165]Jon M. Kleinberg, Manish Raghavan:
Selection Problems in the Presence of Implicit Bias. ITCS 2018: 33:1-33:17 - [c164]Rediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis:
Opinion Dynamics with Varying Susceptibility to Persuasion. KDD 2018: 1089-1098 - [c163]Austin R. Benson, Jon M. Kleinberg:
Found Graph Data and Planted Vertex Covers. NeurIPS 2018: 1363-1374 - [c162]Jon M. Kleinberg, Robert Kleinberg:
Delegated Search Approximates Efficient Search. EC 2018: 287-302 - [c161]Jon M. Kleinberg:
Inherent Trade-Offs in Algorithmic Fairness. SIGMETRICS (Abstracts) 2018: 40 - [c160]Manish Raghavan, Ashton Anderson, Jon M. Kleinberg:
Mapping the Invocation Structure of Online Political Interaction. WWW 2018: 629-638 - [c159]Davood Rafiei, Eugene Agichtein, Ricardo Baeza-Yates, Jon M. Kleinberg, Jure Leskovec:
The Shifting Landscape of Web Search and Mining: Past, Present, and Future. WWW (Companion Volume) 2018: 881 - [i56]