Sven Seuken

Sven Seuken

Universität Zürich

H-index: 23

Europe-Switzerland

About Sven Seuken

Sven Seuken, With an exceptional h-index of 23 and a recent h-index of 18 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Market Design, Algorithmic Game Theory, Economics and Computation, Mechanism Design, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning-powered Combinatorial Clock Auction

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Scalable Mechanism Design for Multi-Agent Path Finding

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning

Computing Perfect Bayesian Equilibria in Sequential Auctions

Cross-optimization in mobile networks

Bayesian optimization-based combinatorial assignment

EC 2022 Foreword

Sven Seuken Information

University

Position

Associate Professor of Computation and Economics

Citations(all)

1978

Citations(since 2020)

974

Cited By

1438

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

50

i10Index(since 2020)

31

Email

University Profile Page

Universität Zürich

Google Scholar

View Google Scholar Profile

Sven Seuken Skills & Research Interests

Market Design

Algorithmic Game Theory

Economics and Computation

Mechanism Design

Artificial Intelligence

Top articles of Sven Seuken

Title

Journal

Author(s)

Publication Date

Machine Learning-powered Combinatorial Clock Auction

Proceedings of the AAAI Conference on Artificial Intelligence

Ermis Nikiforos Soumalias

Jakob Weissteiner

Jakob Heiss

Sven Seuken

2024/3/24

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

arXiv preprint arXiv:2402.08129

Michael Curry

Vinzenz Thoma

Darshan Chakrabarti

Stephen McAleer

Christian Kroer

...

2024/2/12

Scalable Mechanism Design for Multi-Agent Path Finding

arXiv preprint arXiv:2401.17044

Paul Friedrich

Yulun Zhang

Michael Curry

Ludwig Dierks

Stephen McAleer

...

2024/1/30

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning

arXiv preprint arXiv:2312.13232

Vinzenz Thoma

Michael Curry

Niao He

Sven Seuken

2023/12/20

Computing Perfect Bayesian Equilibria in Sequential Auctions

arXiv preprint arXiv:2312.04516

Vinzenz Thoma

Vitor Bosshard

Sven Seuken

2023/12/7

Cross-optimization in mobile networks

2023/10/12

Bayesian optimization-based combinatorial assignment

Proceedings of the AAAI Conference on Artificial Intelligence

Jakob Weissteiner

Jakob Heiss

Julien Siems

Sven Seuken

2023/6/26

EC 2022 Foreword

EC 2022-Proceedings of the 23rd ACM Conference on Economics and Computation

David M Pennock

Ilya Segal

Sven Seuken

2022/7/12

Market Design for Drone Traffic Management

Proceedings of the AAAI Conference on Artificial Intelligence

Sven Seuken

Paul Friedrich

Ludwig Dierks

2022/6/28

Non-decreasing payment rules for combinatorial auctions

arXiv preprint arXiv:2206.03857

Vitor Bosshard

Ye Wang

Sven Seuken

2022/6/7

Enabling trade-offs in machine learning-based matching for refugee resettlement

arXiv preprint arXiv:2203.16176

Nils Olberg

Sven Seuken

2022/3/30

Economics and Computation

ACM Transactions on

David Pennock

Ilya Segal

Eduardo Azevedo

Moshe Babaioff

Maria-Forina Balcan

...

2022

Machine learning-powered course allocation

arXiv preprint arXiv:2210.00954

Ermis Soumalias

Behnoosh Zamanlooy

Jakob Weissteiner

Sven Seuken

2022/10/3

Monotone-value neural networks: Exploiting preference monotonicity in combinatorial assignment

arXiv preprint arXiv:2109.15117

Jakob Weissteiner

Jakob Heiss

Julien Siems

Sven Seuken

2021/9/30

Cloud Pricing: The Spot Market Strikes Back

Management Science

Ludwig Dierks

Sven Seuken

2022/1

iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding

Manuel Beyeler

Gianluca Brero

Benjamin Lubin

Sven Seuken

2021/7/18

Shapley-Based Core-Selecting Payment Rules

arXiv preprint arXiv:2107.01048

Vitor Bosshard

Sven Seuken

2021/7/2

Search and Matching for Adoption from Foster Care

arXiv preprint arXiv:2103.10145

Nils Olberg

Ludwig Dierks

Sven Seuken

Vincent W Slaugh

M Utku Ünver

2021/3/18

Nomu: Neural optimization-based model uncertainty

arXiv preprint arXiv:2102.13640

Jakob Heiss

Jakob Weissteiner

Hanna Wutte

Sven Seuken

Josef Teichmann

2021/2/26

Partial strategyproofness: relaxing strategy-proofness for the random assignment problem

Journal of Economic Theory

Timo Mennle

Sven Seuken

2021

See List of Professors in Sven Seuken University(Universität Zürich)

Co-Authors

H-index: 73
David C. Parkes

David C. Parkes

Harvard University

H-index: 60
Shlomo Zilberstein

Shlomo Zilberstein

University of Massachusetts Amherst

H-index: 60
Abraham Bernstein

Abraham Bernstein

Universität Zürich

H-index: 51
Sarvapali D. (Gopal) Ramchurn

Sarvapali D. (Gopal) Ramchurn

University of Southampton

H-index: 28
Torsten Eymann

Torsten Eymann

Universität Bayreuth

H-index: 25
Enrico Costanza

Enrico Costanza

University College London

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