I am a Research Scientist at Google in Zürich, Switzerland and a Visiting Professor in the Department of Mathematics at London School of Economics. I work on problems at the intersection of Algorithms, Game Theory, and Mechanism Design.
I received my PhD in Computer Science from EPFL Lausanne. My PhD advisor was Monika Henzinger. During my PhD I did summer internships with David C. Parkes at Harvard University and Radu Jurca at Google Zürich. After my PhD I was a Postdoctoral Researcher with Tim Roughgarden at Stanford University and Éva Tardos at Cornell University, an LSE Fellow in Mathematics at London School of Economics, and a Senior Researcher at ETH Zürich.
I have acted as reviewer for Computer Science, Economics, and OR journals such as SICOMP, Econometrica, Operations Research, Mathematics of Operations Research, Management Science, and Games and Economic Behavior. I have been on the program committee of Computer Science conferences such as the ACM Conference on Economics and Computation. I was awarded a Marie Curie Fellowship, and a SNF Postdoctoral Fellowship. I am alumnus of both the German and the Swiss Academic Foundation. I have won the ACM SIGecom Best Full Paper Award at EC’19, and the ACM SIGecom Best Paper Award at EC’12.
News
- I will give an invited (keynote) talk on “Contract Theory: A New Frontier for AGT” to the ATHENA organization at Google Research at 9am PST on Wed 16, 2020 (for Googlers only).
- I will be giving a keynote at SAGT’20 on “Contract Theory: A New Frontier for AGT”.
- I am excited to announce that I joined Google Research in Zürich, Switzerland in August 2020.
- Our paper “Optimal Auctions through Deep Learning” was invited to appear as a Research Highlight in the Communications of the ACM!
- Our paper Prophet Inequalities for I.I.D. Random Variables from an Unknown Distribution received the ACM SIGecom Best Full Paper Award at EC’19.
- I am looking forward to a sabbatical as Visiting Faculty at Google Research in Zürich, Switzerland from August 2019 to July 2020.
- Together with Inbal Talgam-Cohen, I have organized a tutorial on Contract Theory: A new Frontier for AGT at EC’19 in Phoenix, AZ. Video of Part 1 and Part 2.
- I passed Major review in March 2019, and was promoted to Associate Professor.
- I have been granted a British Academy/Leverhulme Small Research Grant on “Contract Theory through the Algorithmic Lens”, March 7, 2019.
- I will present our work on Deep Learning for Auctions at the 5th Google Market Algorithms Workshop in Mountain View, CA, USA on Feb 22, 2019.
- I am one of the winners of the 2017/18 LSE Excellence in Education Awards.
Some recent conference papers
- Efficient Two-Sided Markets with Limited Information
Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser
ACM Symposium on Theory of Computer Science, STOC’21, Rome, Italy - An O(log log m) Prophet Inequality for Subadditive Combinatorial Auctions
Paul Dütting, Thomas Kesselheim, Brendan Lucier
IEEE Symposium on Foundations of Computer Science, FOCS’20, Durham, NC, USA - The Complexity of Contracts
Paul Dütting, Tim Roughgarden, Inbal Talgam-Cohen
ACM-SIAM Symposium on Discrete Algorithms, SODA’20, Salt Lake City, UT, USA - Prophet Inequalities for I.I.D. Random Variables from an Unknown Distribution
(ACM SIGecom Best Full Paper Award)
Jose Correa, Paul Dütting, Felix Fischer, Kevin Schewior
20th ACM Conference on Economics and Computation, EC’19, Phoenix, AZ, USA - Simple versus Optimal Contracts
Paul Dütting, Tim Roughgarden, Inbal Talgam-Cohen
20th ACM Conference on Economics and Computation, EC’19, Phoenix, AZ, USA - Posted Pricing and Prophet Inequalities with Inaccurate Priors
Paul Dütting, Thomas Kesselheim
20th ACM Conference on Economics and Computation, EC’19, Phoenix, AZ, USA - Optimal Auctions through Deep Learning
Paul Dütting, Zhe Feng, Hari Narasimhan, David C. Parkes, Sai S. Ravindranath
36th International Conference on Machine Learning, ICML’19, Long Beach, CA, USA - Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs
Paul Dütting, Michal Feldman, Thomas Kesselheim, Brendan Lucier
58th IEEE Symposium on Foundations of Computer Science, FOCS’17, Berkeley, CA, USA - Best-Response Dynamics in Combinatorial Auctions with Item Bidding
Paul Dütting and Thomas Kesselheim
28th ACM-SIAM Symposium on Discrete Algorithms, SODA’17, Barcelona, Spain
Some recent journal papers
- The Complexity of Contracts
Paul Dütting, Tim Roughgarden, Inbal Talgam-Cohen
SIAM Journal on Computing, SICOMP’20+, accepted December 2020, forthcoming -
Best-Response Dynamics in Combinatorial Auctions with Item Bidding
(Invited to Special Issue on STOC/FOCS/SODA 2016-2017)
Paul Dütting, Thomas Kesselheim
Games and Economic Behavior, GEB’20+, accepted September 2020, forthcoming - Optimal Auctions through Deep Learning
(Invited Research Highlight)
Paul Dütting, Zhe Feng, Hari Narasimhan, David C. Parkes, Sai S. Ravindranath
Communications of the ACM, CACM’20+, accepted April 2020, forthcoming - Algorithms as Mechanisms: The Price of Anarchy of Relax and Round
Paul Dütting, Thomas Kesselheim, Eva Tardos
Mathematics of Operations Research, MOR’21, Volume 46, Issue 1, pages 317-335, January 2021 - Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Nonstochastic Inputs
Paul Dütting, Michal Feldman, Thomas Kesselheim, Brendan Lucier
SIAM Journal on Computing, SICOMP’20, Volume 49, Number 3, pages 540-582, June 2020 - Expressiveness and Robustness of First-Price Position Auctions
Paul Dütting, Felix Fischer, David C. Parkes
Mathematics of Operations Research, MOR’19, Volume 44, Issue 1, Pages 196-211, February 2019 - The Performance of Deferred-Acceptance Auctions
Paul Dütting, Vasilis Gkatzelis, Tim Roughgarden
Mathematics of Operations Research, MOR’17, Volume 42, Issue 4, Pages 897-914, November 2017 - Modularity and Greed in Double Auctions
Paul Dütting, Tim Roughgarden, Inbal Talgam-Cohen
Games and Economic Behavior, GEB’17, Volume 105, Pages 59-83, September 2017
Click here for full list of publications.
