A Bicriterion Concentration Inequality and Prophet Inequalities for k-Fold Matroid Unions

Authors Noga Alon , Nick Gravin , Tristan Pollner, Aviad Rubinstein , Hongao Wang , S. Matthew Weinberg , Qianfan Zhang



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Author Details

Noga Alon
  • Department of Mathematics, Princeton University, NJ, USA
  • Schools of Mathematics and Computer Science, Tel Aviv University, Tel Aviv, Israel
Nick Gravin
  • Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, China
Tristan Pollner
  • Department of Management Science and Engineering, Stanford University, CA, USA
Aviad Rubinstein
  • Department of Computer Science, Stanford University, CA, USA
Hongao Wang
  • Department of Computer Science, Purdue University, West Lafayette, IN, USA
S. Matthew Weinberg
  • Department of Computer Science, Princeton University, NJ, USA
Qianfan Zhang
  • Department of Computer Science, Princeton University, NJ, USA

Acknowledgements

The authors are grateful to the anonymous reviewers for helpful feedback on the initial submission of this work.

Cite As Get BibTex

Noga Alon, Nick Gravin, Tristan Pollner, Aviad Rubinstein, Hongao Wang, S. Matthew Weinberg, and Qianfan Zhang. A Bicriterion Concentration Inequality and Prophet Inequalities for k-Fold Matroid Unions. In 16th Innovations in Theoretical Computer Science Conference (ITCS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 325, pp. 4:1-4:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.ITCS.2025.4

Abstract

We investigate prophet inequalities with competitive ratios approaching 1, seeking to generalize k-uniform matroids. We first show that large girth does not suffice: for all k, there exists a matroid of girth ≥ k and a prophet inequality instance on that matroid whose optimal competitive ratio is 1/2. Next, we show k-fold matroid unions do suffice: we provide a prophet inequality with competitive ratio 1-O(√{(log k)/k}) for any k-fold matroid union. Our prophet inequality follows from an online contention resolution scheme.
The key technical ingredient in our online contention resolution scheme is a novel bicriterion concentration inequality for arbitrary monotone 1-Lipschitz functions over independent items which may be of independent interest. Applied to our particular setting, our bicriterion concentration inequality yields "Chernoff-strength" concentration for a 1-Lipschitz function that is not (approximately) self-bounding.

Subject Classification

ACM Subject Classification
  • Theory of computation → Online algorithms
Keywords
  • Prophet Inequalities
  • Online Contention Resolution Schemes
  • Concentration Inequalities

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References

  1. Saeed Alaei. Bayesian combinatorial auctions: Expanding single buyer mechanisms to many buyers. SIAM Journal on Computing, 43(2):930-972, 2014. URL: https://doi.org/10.1137/120878422.
  2. Saeed Alaei, Hu Fu, Nima Haghpanah, Jason Hartline, and Azarakhsh Malekian. Bayesian optimal auctions via multi- to single-agent reduction. In Proceedings of the 13th ACM Conference on Electronic Commerce, EC '12, page 17, New York, NY, USA, 2012. Association for Computing Machinery. URL: https://doi.org/10.1145/2229012.2229017.
  3. C. J. Argue, Anupam Gupta, Marco Molinaro, and Sahil Singla. Robust secretary and prophet algorithms for packing integer programs. In Joseph (Seffi) Naor and Niv Buchbinder, editors, Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, SODA 2022, Virtual Conference / Alexandria, VA, USA, January 9 - 12, 2022, pages 1273-1297. SIAM, SIAM, 2022. URL: https://doi.org/10.1137/1.9781611977073.53.
  4. Pablo Daniel Azar, Robert Kleinberg, and S. Matthew Weinberg. Prophet inequalities with limited information. In Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2014, Portland, Oregon, USA, January 5-7, 2014, pages 1358-1377, 2014. URL: https://doi.org/10.1137/1.9781611973402.100.
  5. Stéphane Boucheron, Gábor Lugosi, and Pascal Massart. A sharp concentration inequality with applications. Random Structures & Algorithms, 16(3):277-292, 2000. URL: https://doi.org/10.1002/(SICI)1098-2418(200005)16:3%3C277::AID-RSA4%3E3.0.CO;2-1.
  6. Stéphane Boucheron, Gábor Lugosi, and Pascal Massart. Concentration inequalities using the entropy method. The Annals of Probability, 31(3):1583-1614, 2003. Google Scholar
  7. Stephane Boucheron, Gabor Lugosi, and Pascal Massart. On concentration of self-bounding functions. Electronic Journal of Probability, 14:1884-1899, 2009. Google Scholar
  8. Shuchi Chawla, Jason D. Hartline, David L. Malec, and Balasubramanian Sivan. Multi-parameter mechanism design and sequential posted pricing. In Leonard J. Schulman, editor, Proceedings of the 42nd ACM Symposium on Theory of Computing, STOC 2010, Cambridge, Massachusetts, USA, 5-8 June 2010, pages 311-320. ACM, 2010. URL: https://doi.org/10.1145/1806689.1806733.
  9. Chandra Chekuri, Junkai Song, and Weizhong Zhang. Contention resolution for the l-fold union of a matroid via the correlation gap. In 2024 Symposium on Simplicity in Algorithms (SOSA), pages 396-405. SIAM, 2024. URL: https://doi.org/10.1137/1.9781611977936.36.
  10. Atanas Dinev and S. Matthew Weinberg. Simple and Optimal Online Contention Resolution Schemes for k-Uniform Matroids. In Venkatesan Guruswami, editor, 15th Innovations in Theoretical Computer Science Conference (ITCS 2024), volume 287 of Leibniz International Proceedings in Informatics (LIPIcs), pages 39:1-39:23, Dagstuhl, Germany, 2024. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. URL: https://doi.org/10.4230/LIPIcs.ITCS.2024.39.
  11. Paul Dütting, Michal Feldman, Thomas Kesselheim, and Brendan Lucier. Prophet inequalities made easy: Stochastic optimization by pricing nonstochastic inputs. SIAM J. Comput., 49(3):540-582, 2020. URL: https://doi.org/10.1137/20M1323850.
  12. Moran Feldman, Ola Svensson, and Rico Zenklusen. Online contention resolution schemes. In Robert Krauthgamer, editor, Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016, Arlington, VA, USA, January 10-12, 2016, pages 1014-1033. SIAM, 2016. URL: https://doi.org/10.1137/1.9781611974331.ch72.
  13. Mohammad Taghi Hajiaghayi, Robert Kleinberg, and Tuomas Sandholm. Automated online mechanism design and prophet inequalities. In AAAI, volume 7, pages 58-65, 2007. URL: http://www.aaai.org/Library/AAAI/2007/aaai07-009.php.
  14. Jiashuo Jiang, Will Ma, and Jiawei Zhang. Tight guarantees for multi-unit prophet inequalities and online stochastic knapsack. In Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1221-1246. SIAM, 2022. URL: https://doi.org/10.1137/1.9781611977073.51.
  15. Thomas Kesselheim, Andreas Tönnis, Klaus Radke, and Berthold Vöcking. Primal beats dual on online packing lps in the random-order model. In Proceedings of the forty-sixth annual ACM symposium on Theory of computing, pages 303-312, 2014. URL: https://doi.org/10.1145/2591796.2591810.
  16. Robert Kleinberg and S. Matthew Weinberg. Matroid prophet inequalities. In Proceedings of the 44th Symposium on Theory of Computing Conference, STOC 2012, New York, NY, USA, May 19 - 22, 2012, pages 123-136, 2012. URL: https://doi.org/10.1145/2213977.2213991.
  17. Ulrich Krengel and Louis Sucheston. On semiamarts, amarts, and processes with finite value. Advances in Probability and Related Topics, 4:197-266, 1978. Google Scholar
  18. Felix Lazebnik, Vasiliy A Ustimenko, and Andrew J Woldar. A new series of dense graphs of high girth. Bulletin of the American mathematical society, 32(1):73-79, 1995. Google Scholar
  19. Euiwoong Lee and Sahil Singla. Optimal Online Contention Resolution Schemes via Ex-Ante Prophet Inequalities. In 26th Annual European Symposium on Algorithms (ESA 2018), volume 112, pages 57:1-57:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. URL: https://doi.org/10.4230/LIPIcs.ESA.2018.57.
  20. Pascal Massart. About the constants in talagrand’s concentration inequalities for empirical processes. The Annals of Probability, 28(2):863-884, 2000. Google Scholar
  21. Colin McDiarmid et al. On the method of bounded differences. Surveys in combinatorics, 141(1):148-188, 1989. Google Scholar
  22. Colin McDiarmid and Bruce Reed. Concentration for self-bounding functions and an inequality of talagrand. Random Structures & Algorithms, 29(4):549-557, 2006. URL: https://doi.org/10.1002/rsa.20145.
  23. Aviad Rubinstein and Sahil Singla. Combinatorial prophet inequalities. In Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017, Barcelona, Spain, Hotel Porta Fira, January 16-19, pages 1671-1687, 2017. URL: https://doi.org/10.1137/1.9781611974782.110.
  24. Aviad Rubinstein and S. Matthew Weinberg. Simple mechanisms for a subadditive buyer and applications to revenue monotonicity. In Proceedings of the Sixteenth ACM Conference on Economics and Computation, EC '15, Portland, OR, USA, June 15-19, 2015, pages 377-394, 2015. URL: https://doi.org/10.1145/2764468.2764510.
  25. Ester Samuel-Cahn. Comparison of threshold stop rules and maximum for independent nonnegative random variables. Annals of Probability, 12(4):1213-1216, 1984. Google Scholar
  26. Gideon Schechtman. Concentration, results and applications. In Handbook of the geometry of Banach spaces, volume 2, pages 1603-1634. Elsevier, 2003. Google Scholar
  27. Jan Vondrák. A note on concentration of submodular functions. CoRR, abs/1005.2791, 2010. URL: https://doi.org/10.48550/arXiv.1005.2791.
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