Ph.D. Students
Raunak Kumar
Princewill Okoroafor
Tegan Wilson
Former Students
Bruno Abrahao
Hyung-Chan An (co-advised with David Shmoys)
Makis Arsenis
Ashwinkumar Badanidiyuru
Anna Blasiak
Hu Fu
Rad Niazadeh
Ayush Sekhari
Yogi Sharma (co-advised with David Williamson)
Yang Yuan
Postdocs
Yoav Kolumbus
Former Postdocs
Saeed Alaei
Thomas Kesselheim
Patrick Briest
Shahar Dobzinski
Katrina Ligett
CS 4820: Introduction to Analysis of Algorithms
Spring 2008,
Spring 2009,
Spring 2010,
Spring 2011,
Spring 2012,
Spring 2014,
Spring 2017,
Spring 2018,
Spring 2019,
Spring 2021.
Spring 2024.
CS 4850: Mathematical Foundations of the Information Age
Spring 2022
CS 6820: Analysis of Algorithms
Fall 2008,
Fall 2010,
Fall 2012,
Fall 2013,
Fall 2016,
Fall 2017,
Fall 2018,
Fall 2019,
Fall 2020,
Fall 2021,
Fall 2023.
CS 6822: Flows, Cuts, and Sparsifiers
Fall 2011.
CS 683: Learning, Games, and Electronic Markets
Spring 2007.
CS 783: Information-Theoretic Aspects of Algorithms
Fall 2007.
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Research Interests
Algorithms and theoretical computer science, especially
economic aspects of algorithms,
online learning and its applications,
random processes in networks.
Selected Recent Publications
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Breaking the VLB Barrier for Oblivious Reconfigurable Networks
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T. Wilson, D. Amir, N. Saran, R. Kleinberg, V. Shrivastav, and H. Weatherspoon.
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Proceedings of STOC 2024.
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Load is not what you should balance: Introducing Prequal
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B. Wydrowski, R. Kleinberg, S. Rumble, and A. Archer.
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Proceedings of NSDI 2024.
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Faster Recalibration of an Online Predictor via Approachability
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P. Okoroafor, R. Kleinberg, and W. Sun.
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Proceedings of AISTATS 2024.
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Online Convex Optimization with Unbounded Memory
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R. Kumar, S. Dean, and R. Kleinberg.
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Advances in Neural Information Processing Systems (NeurIPS 2023).
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U-Calibration: Forecasting for an Unknown Agent
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R. Kleinberg, R. Paes Leme, J. Schneider, and Y. Teng.
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Proceedings of COLT 2023.
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Non-Stochastic CDF Estimation Using Threshold Queries
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P. Okoroafor, V. Gupta, R. Kleinberg, and E. Goh.
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Proceedings of SODA 2023.
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Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
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R. Kumar and R. Kleinberg.
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Advances in Neural Information Processing Systems (NeurIPS 2022).
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Individual Fairness in Prophet Inequalities
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M. Arsenis and R. Kleinberg.
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Proceedings of EC 2022.
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Optimal Oblivious Reconfigurable Networks
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D. Amir, T. Wilson, V. Shrivastav, H. Weatherspoon, R. Kleinberg, and R. Agarwal.
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Proceedings of STOC 2021.
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Recharging Bandits
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N. Immorlica and R. Kleinberg.
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Proceedings of FOCS 2018.
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Delegated Search Approximates Efficient Search
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J. Kleinberg and R. Kleinberg.
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Proceedings of EC 2018.
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The Lovász Theta Function for Random Regular Graphs and Community Detection in the Hard Regime
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J. Banks, R. Kleinberg, and C. Moore.
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SIAM J. Computing 48(3):1098–1119, 2019.
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The Growth Rate of Tri-Colored Sum-Free Sets
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R. Kleinberg, D. E. Speyer, and W. Sawin.
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Discrete Analysis 12, 2018.
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Semi-Oblivious Traffic Engineering: The Road Not Taken
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P. Kumar, Y. Yuan, C. Yu, N. Foster, R. Kleinberg, P. Lapukhov, C. L. Lim, and R. Soulé.
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Proc. 15th USENIX Symposium on Networked Systems Design and Implementation
(NSDI 2018).
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Tutorial on “Incentivizing and Coordinating Exploration”
(EC 2017)
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Slides for Part I (Alex Slivkins),
Part II (Bobby Kleinberg).
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Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees
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R. Kleinberg, K. Leyton-Brown, and B. Lucier.
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In Proc. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).
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Bernoulli Factories and Black-Box Reductions in Mechanism Design
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S. Dughmi, J. Hartline, R. Kleinberg, and R. Niazadeh.
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In Proc. 49th ACM Symposium on
Theory of Computing (STOC 2017).
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Descending Price Optimally Coordinates Search
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R. Kleinberg, B. Waggoner, and E. G. Weyl.
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In Proc. 17th ACM Conference on Economics and Computation (EC 2016).
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Incentivizing Exploration
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P. Frazier, D. Kempe, J. Kleinberg, and R. Kleinberg.
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Proc. 15th ACM Conference on Economics and Computation (EC 2014).
(Recipient of Best Paper Award.)
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