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On the uniqueness of bayesian coarse correlated equilibria in
standard first-price and all-pay auctions.
Symposium on Discrete Algorithms (SODA), 2025.
J. Bürgermeister, M. Bichler, and M. Schiffer.
Convergence of adaptive pricing algorithms to equilibrium in
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European Journal of Operational Research, 318(2):605–617,
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F. R. Pieroth, K. Fitch, and L. Belzner.
Detecting influence structures in multi-agent reinforcement
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F. R. Pieroth and M. Bichler.
Alpha-rank-collections: Analyzing expected strategic behavior
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In Economics and Computation. ACM, 2024.
M. Bichler, M. Ewert, and A. Ockenfels.
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Operations Research, 2024.
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Zonal vs. nodal pricing: An analysis of different pricing rules
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S. Asseng, M. Bichler, R. Birner, C. Bieling, H. Gimpel, I. Grass, J. Kollmann,
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Hybrid intelligence for reconciling biodiversity and
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Selecting interlacing committees.
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Comparing ways of obtaining candidate orderings from approval
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2024.
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2024.
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The squared Kemeny rule for averaging rankings.
Proceedings of the 25th ACM Conference on Economics and
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Stability in online coalition formation.
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M. Bullinger, C. Dong, P. Lederer, and C. Mehler.
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2024.
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Operations Research, 2023.
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Budget-feasible market design for biodiversity conservation:
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Getting prices right on electricity spot markets: On the
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NBER Proceedings in Market Design, 2023.
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Enabling first-order gradient-based learning for equilibrium
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Pricing optimal outcomes in coupled and non-convex markets:
Theory and applications to electricity markets.
In ACM Economics and Computation. ACM, 2023.
M. Bichler, N. Kohring, M. Oberlechner, and F. Pieroth.
Learning equilibrium in bilateral bargaining games.
European Journal on Operational Research, 311(2):660–678,
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INFORMS Journal on Computing, 35(3):519–709, C2, August 2023.
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ACM Conference on Economics and Computation, Juli 2023.
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The metric distortion of randomized social choice functions: C1
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2023.
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2023.
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Bivariate scoring rules: Unifying the characterizations of
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2023.
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Games and Economic Behavior, 142:266–291, 2023.
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Characterizing the top cycle via strategyproofness.
Theoretical Economics, 18(2):837–883, 2023.
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On identifiability of conditional causal effects.
2023.
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How to trade thirty thousand products: A wholesale market design
for road capacity.
Transportation Research Part A, 164:167–185, October 2022.
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On airport time slot auctions: A market design complying with
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Detecting influence structures in multi-agent reinforcement
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On learning stable cooperation in the iterated prisoner's
dilemma with paid incentives.
In 2022 DISCOLI Workshop on Distributed Collective Intelligence
(DISCOLI 2022), Online, Online, July 11 2022.
M. Bichler, M. Ewert, and M. Oberlechner.
Computing bayes nash equilibrium strategies in crowdsourcing
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In 32nd Workshop on Information Technologies and Systems (WITS
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Mathematical Programming, 191(2):1436–4646, 2022.
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Pricing optimal outcomes in coupled and non-convex electricity
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In 32nd Workshop on Information Technologies and Systems (WITS
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M. Ş. Ahunbay, A. Ashour Novirdoust, R. Bhuiyan, M. Bichler, S. Bindu,
E. Bjørndal, M. Bjørndal, H. U. Buhl, J. P. Chaves-Ávila, H. Gerard,
S. Gross, L. Hanny, J. Knörr, C. S. Köhnen, L. Marques, A. Monti,
K. Neuhoff, C. Neumann, E. Ocenic, M. Ott, M. Pichlmeier, J. C. Richstein,
M. Rinck, F. Röhrich, P. M. Röhrig, A. Sauer, J. Strüker,
M. Troncia, J. Wagner, M. Weibelzahl, and P. Zilke.
Electricity market design 2030-2050: Shaping future electricity
markets for a climate-neutral europe.
2022.
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Pricing in non-convex markets: How to price electricity in the
presence of demand response.
Information Systems Research, 34(2):652–675, July 2022.
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M. Bichler, H. U. Buhl, J. Knörr, F. Maldonado, P. Schott, S. Waldherr, and
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Electricity markets in a time of change: A call to arms for
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Schmalenbach Journal of Business Research, 74:77–102, 2022.
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Taming the communication and computation complexity of
combinatorial auctions: The FUEL bid language.
Management Science, 69(4):2217–2238, June 2022.
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Core-stability in assignment markets with financially
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ACM Conference on Economics and Computation, 23:473–474,
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Equilibrium learning in auction markets.
In Proceedings of The Twenty-Seventh AAAI/SIGAI Doctoral
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Designing a large-scale wholesale market for urban congestion
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Boundaries to single-agent stability in additively separable
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Incentives in social decision schemes with pairwise comparison
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Funding public projects: A case for the Nash product rule.
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Sharp analysis of stochastic optimization under global
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Revisiting the general identifiability problem.
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Improved two sample revenue guarantees via mixed-integer linear
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M. Ott, J. C. Richstein, M. Rinck, M. Schöpf, P. Schott, A. Sitzmann,
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In International Conference on Machine Learning (ICML), pages
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J. Etesami, W. Trouleau, N. Kiyavash, M. Grossglauser, and P. Thiran.
A variational inference approach to learning multivariate wold
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M. Bichler.
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Comments on: Shared resources in collaborative vehicle routing.
TOP, 28:21–24, April 2020.
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M. Bichler, M. Fichtl, and G. Schwarz.
Walrasian equilibria from an optimization perspective: A guide
to the literature.
Naval Research Logistics, 68(4):496–513, 2020.
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M. Bichler, V. Grimm, S. Kretschmer, and P. Sutterer.
Market design for renewable energy auctions: An analysis of
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Energy Economics, 92:104904, October 2020.
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M. Bichler, Z. Hao, R. Littmann, and S. Waldherr.
Strategyproof auction mechanisms for network procurement.
OR Spectrum, 42(3):965–994, 2020.
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M. Bichler, T. Morrill, and S. Waldherr.
How to assign scarce resources without money: Designing
information systems that are efficient, truthful, and (pretty) fair.
INFORMS Information Systems Research, 32(2):335–355, 2020.
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S. Heidekrüger, P. Sutterer, N. Kohring, and M. Bichler.
Learning bayesian nash equilibria in auction games.
In INFORMS Workshop on Data Science, Online, 2020.
S. Heidekrüger, P. Sutterer, N. Kohring, and M. Bichler.
Equilibrium learning in combinatorial auctions: Computing
approximate bayesian nash equilibria via pseudogradient dynamics.
In Workshop on Information Technology and Systems (WITS20),
Online, Online, 2020.
P. Karaenke, M. Bichler, S. Merting, and S. Minner.
Non-monetary coordination mechanisms for time slot allocation in
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European Journal of Operational Research, 286(3):897–907,
2020.
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P. Karaenke, M. Schiffer, and S. Waldherr.
The customer is always right: A value-based matching mechanism
for customer-centered ride pooling.
In Proceedings of the INFORMS TSL Second Triennial Conference
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R. Littmann, B. M., and W. S.
Incentive-compatible auction mechanisms for network
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In Proceedings of the 15th International Conference on
Wirtschaftsinformatik, Potsdam, Germany, 2020.
R. Littmann and B. M.
Real-time dynamic congestion pricing: An online optimization
approach.
In Workshop on Information Technology and Systems (WITS20),
Online, 2020.
P. Paulsen, M. Bichler, and G. Kokott.
The beauty of Dutch: Bidding behavior in combinatorial
first-price procurement auctions.
European Journal of Operational Research, 291(2):711–721,
2020.
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M. Bichler, P. Milgrom, and G. Schwarz.
Taming the communication and computation complexity of
combinatorial auctions: The fuel bid language.
In Conference on Information Systems and Technology (CIST2020),
7. November 2020, Online, 2020.
T. Widmer, P. Karaenke, and V. Sugumaran.
Two‐sided service markets: Effects of quality differentiation
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Managerial and Decision Economics, 2020.
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D. Baumeister, A.-K. Selker, and A. Wilczynski.
Manipulation of opinion polls to influence iterative elections.
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Computing desirable partitions in coalition formation games
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Social Choice and Welfare, 54(1):87–100, 2020.
F. Brandl and F. Brandt.
Arrovian aggregation of convex preferences.
Econometrica, 88(2):799–844, 2020.
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Causal transfer for imitation learning and decision making under
sensor-shift.
In Proceedings of the AAAI Conference on Artificial
Intelligence, volume 34, pages 10118–10125, 2020.
M. Bichler, V. Fux, and J. Goeree.
Designing environmental markets for trading catch shares.
INFORMS Journal on Applied Analytics, 49(5):324–337, 2019.
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Matching with bundle preferences: Tradeoff between fairness and
truthfulness.
In T. Ludwig and V. Pipek, editors, Proceedings of the 14th
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M. Bichler, S. Merting, and A. Uzunoglu.
Assigning course schedules: About preference elicitation,
fairness, and truthfulness.
In TBA, editor, Proceedings of the International Conference on
Information Systems (ICIS 2019), page TBA. TBA, 2019.
M. Bichler and S. Waldherr.
Competitive equilibria in combinatorial exchanges with
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solutions.
ACM Conference on Economics and Computation, 20, 2019.
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Computing approximate bayes-nash equilibria through neural
self-play.
In Workshop on Information Technology and Systems (WITS19),
Munich, Germany, 2019.
P. Karaenke, M. Bichler, and S. Minner.
Coordination is hard: Electronic auction mechanisms for
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Management Science, 65(12):5449–5956, 2019.
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P. Knoepfle, J. Knoerr, and S. Merting.
Online auctions with dual-threshold algorithms: An experimental
study and practical evaluation.
In T. Ludwig and V. Pipek, editors, Proceedings of the 14th
International Conference on Wirtschaftsinformatik, pages 437 – 451.
Universität Siegen, 2019.
G. Kokott, M. Bichler, and P. Paulsen.
The beauty of Dutch: Ex-post split-award auctions in
procurement markets with diseconomies of scale.
European Journal on Operational Research, 278(1):202–210,
2019.
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G. Kokott, M. Bichler, and P. Paulsen.
First-price split-award auctions in procurement markets with
economies of scale.
Production and Operations Management, 28(3):721–739, March
2019.
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R. Littmann, B. M., and W. S.
Combinatorial exchanges for airport time slots.
In Workshop on Information Technology and Systems (WITS19),
Munich, Germany, 2019.
P. Sutterer, B. M., G. V., and K. S.
Building up renewable energy: A market design for wind
auctions.
In Workshop on Information Technology and Systems (WITS19),
Munich, Germany, 2019.
P. Sutterer, S. Waldherr, and M. Bichler.
Are truthful bidders paying too much? Efficiency and revenue
in display ad auctions.
ACM Transactions on Management Information Systems,
10(2):1–18, 2019.
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G. Bachmeier, F. Brandt, C. Geist, P. Harrenstein, K. Kardel, D. Peters, and
H. G. Seedig.
k-majority digraphs and the hardness of voting with a constant
number of voters.
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F. Brandt and A. Wilczynski.
On the convergence of swap dynamics to Pareto-optimal
matchings.
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Strategic abstention based on preference extensions: Positive
results and computer-generated impossibilities.
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2019.
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F. Brandt, J. Hofbauer, and M. Strobel.
Exploring the no-show paradox for Condorcet extensions using
Ehrhart theory and computer simulations.
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H. Aziz, F. Brandl, F. Brandt, P. Harrenstein, M. Olsen, and D. Peters.
Fractional hedonic games.
ACM Transactions on Economics and Computation, 7(2):1–29,
2019.
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F. Brandl and D. Peters.
An axiomatic characterization of the Borda mean rule.
Social Choice and Welfare, 52(4):685–707, 2019.
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F. Brandl, F. Brandt, and J. Hofbauer.
Welfare maximization entices participation.
Games and Economic Behavior, 14:308–314, 2019.
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W. Trouleau, J. Etesami, M. Grossglauser, N. Kiyavash, and P. Thiran.
Learning hawkes processes under synchronization noise.
In International Conference on Machine Learning (ICML), pages
6325–6334. PMLR, 2019.
W. van der Aalst, M. Bichler, and A. Heinzl.
Robotic process automation.
Business & Information Systems Engineering, 60(4):269–272,
2018.
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M. Bichler.
Views on the past, present, and future of business and
information systems engineering.
Business & Information Systems Engineering, 60(6):443–477,
2018.
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M. Bichler, S. Fadaei, and D. Kraft.
A simple and fast algorithm for convex decomposition in
relax-and-round mechanisms.
Computers and Operations Research, 103:277–287, 2018.
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M. Bichler, V. Fux, and J. Goeree.
A matter of equality: Linear pricing in combinatorial
exchanges.
INFORMS Information Systems Research, 29(4):1024–1043, 2018.
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M. Bichler, V. Fux, and J. Goeree.
Designing combinatorial exchanges for the reallocation of
resource rights.
Proceedings of the National Academy of Sciences (PNAS),
116(3):786–791, 2018.
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M. Bichler and S. Merting.
Truthfulness in advertising? approximation mechanisms for
knapsack bidders.
European Journal of Operational Research, 270(2):775–783,
2018.
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M. Bichler, S. Merting, and A. Uzunoglu.
Assigning course schedules: About preference elicitation,
fairness, and truthfulness.
CoRR, abs/1812.02630, 2018.
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M. Bichler and P. Paulsen.
A principal-agent model of bidding firms in multi-unit
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Games and Economic Behavior, 111:20–40, September 2018.
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M. Bultmann, S. Knust, and S. Waldherr.
Flow shop scheduling with fexible processing times.
OR Spektrum, 40:809–829, 2018.
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M. Bultmann, S. Knust, and S. Waldherr.
Synchronous fow shop scheduling with pliable jobs.
European Journal of Operational Research, 270:943–956, 2018.
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N. Eschner and P. Sutterer.
The potential of user behavioural data for a preventive
exception handling mechanism.
In Multikonferenz Wirtschaftsinformatik (MKWI) 2017: Band I,
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A. Goetzendorff, M. Bichler, and J. K. Goeree.
Synergistic valuations and efficiency in spectrum auctions.
Telecommunications Policy, 42(1):91–105, 2018.
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A. Heinzl, W. van der Aalst, and M. Bichler.
Why the community should care about technology-centric journal
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2018.
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On the structure of stable tournament solutions.
Economic Theory, 65(2):483–507, 2018.
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Robust bounds on choosing from large tournaments.
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F. Brandl and T. Kavitha.
Two problems in max-size popular matchings.
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Voting with ties: Strong impossibilities via SAT solving.
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An analytical and experimental comparison of maximal lottery
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Proving the incompatibility of efficiency and strategyproofness
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F. Brandt, M. Brill, and P. Harrenstein.
Extending tournament solutions.
Social Choice and Welfare, 51(2):193–222, 2018.
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On the tradeoff between efficiency and strategyproofness.
Games and Economic Behavior, 110:1–18, 2018.
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Learning vector autoregressive models with latent processes.
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Intelligence, volume 32, 2018.
A. Truong, N. Kiyavash, and S. R. Etesami.
Adversarial machine learning: The case of recommendation
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In 2018 IEEE 19th International Workshop on Signal Processing
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W. van der Aalst, M. Bichler, and A. Heinzl.
Responsible data science.
Business and Information Systems Engineering, 59(5), 2017.
S. Albers, M. Bichler, F. Brandt, P. Gritzmann, and R. Kolisch.
Algorithmic economics und operations research.
Informatik Spektrum, 40(2):165–171, 2017.
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M. Bichler and J. K. Goeree.
Frontiers in spectrum auction design.
International Journal of Industrial Organization, 50:372–391,
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M. Bichler, V. Gretschko, and M. Janssen.
Bargaining in spectrum auctions: a review of the german auction
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Telecommunications Policy, 41(5-6):325–340, 2017.
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M. Bichler, Z. Hao, and G. Adomavicius.
Coalition-based pricing in ascending combinatorial auctions.
Information Systems Research, 28(1):159–179, 2017.
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M. Bichler, A. Heinzl, and W. van der Aalst.
Business analytics and data science: Once again?Business and Information Systems Engineering, 58(2), 2017.
M. Bichler and S. Waldherr.
Core and pricing equilibria in combinatorial exchanges.
Economics Letters, 157:145 – 147, 2017.
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F. Diebold and M. Bichler.
Matching with indifferences: A comparison of algorithms in the
context of course allocation.
European Journal of Operational Research, 260(1):268–282,
2017.
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S. Fadaei and M. Bichler.
Generalized assignment problem: Truthful mechanism design
without money.
Operations Research Letters, 45(1):72–76, 2017.
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S. Fadaei and M. Bichler.
Truthfulness with value-maximizing bidders: On the limits of
approximation in combinatorial markets.
European Journal of Operational Research, 260(2):767–777,
2017.
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S. Fadaei and M. Bichler.
A truthful mechanism for the generalized assignment problem.
ACM Transactions on Economics and Computation (TEAC), 5(3):14,
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A. Heinzl, M. Bichler, and W. van der Aalst.
Trans-national joint research projects - defying the odds of
national inter-university competition.
Business and Information Systems Engineering, 59(4), 2017.
A. Heinzl, M. Bichler, and W. van der Aalst.
Trans-national joint research projects.
Business & Information Systems Engineering, 59(4), 2017.
L. Martin and P. Karaenke.
The vehicle for hire problem: A generalized kolkata paise
restaurant problem.
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M. Strehler, S. Merting, and C. Schwan.
Energy-efficient shortest routes for electric and hybrid
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Transportation Research Part B: Methodological, 103(Supplement
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Green Urban Transportation.
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P. Sutterer, S. Waldherr, and M. Bichler.
Are truthful bidders paying too much? efficiency and revenue in
display ad auctions.
In Workshop on Information Technology and Systems (WITS17),
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S. Waldherr and S. Knust.
Decomposition algorithms for synchronous flow shop problems with
additional resources and setup times.
European Journal of Operational Research, 259(3):847–863,
2017.
S. Waldherr, S. Knust, and D. Briskorn.
Synchronous flow shop problems: How much can we gain by leaving
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F. Brandl and T. Kavitha.
Popular matchings with multiple partners.
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Algorithmic Economics und Operations Research.
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Special Issue “50 Jahre Informatik München”.
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Random assignment with optional participation.
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Optimal bounds for the no-show paradox via SAT solving.
Mathematical Social Sciences, 90:18–27, 2017.
Special Issue in Honor of Hervé Moulin.
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The distribution of optimal strategies in symmetric zero-sum
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Games and Economic Behavior, 104:674–680, 2017.
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F. Brandt, P. Harrenstein, and H. G. Seedig.
Minimal extending sets in tournaments.
Mathematical Social Sciences, 87:55–63, 2017.
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Y. Yang, J. Etesami, N. He, and N. Kiyavash.
Online learning for multivariate hawkes processes.
Advances in Neural Information Processing Systems (NeurIPS),
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J. Etesami, A. Habibnia, and N. Kiyavash.
Econometric modeling of systemic risk: going beyond pairwise
comparison and allowing for nonlinearity.
2017.
S. Salehkaleybar, J. Etesami, and N. Kiyavash.
Identifying nonlinear 1-step causal influences in presence of
latent variables.
In 2017 IEEE International Symposium on Information Theory
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Y. Yang, J. Etesami, and N. Kiyavash.
Efficient neighborhood selection for walk summable gaussian
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A. Truong, S. R. Etesami, J. Etesami, and N. Kiyavash.
Optimal attack strategies against predictors-learning from
expert advice.
IEEE Transactions on Information Forensics and Security,
13(1):6–19, 2017.
S. Etesami.
Causal structure of networks of stochastic processes.
2017.
W. van der Aalst, M. Bichler, and A. Heinzl.
Open research in business and information systems engineering.
Business and Information Systems Engineering, 57(6), 2016.
M. Bichler, V. Fux, and J. Goeree.
Linear payment rules for combinatorial exchanges.
In International Conference on Information Systems (ICIS 2016),
Dublin, 2016.
M. Bichler, A. Heinzl, and W. van der Aalst.
Bise and the engineering sciences.
Business & Information Systems Engineering, 58(2), 2016.
S. Fadaei and M. Bichler.
Truthfulness and approximation with value-maximizing bidders.
In Symposium on Algorithmic Game Theory, 2016.
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K. Guler, M. Bichler, and J. Petrakis.
Ascending combinatorial auctions with risk averse bidders.
INFORMS Group Decision and Negotiation, 25(3):609–639, May
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A. Heinzl, M. Bichler, and W. van der Aalst.
Disciplinary pluralism, flagship conferences, and journal
submissions.
Business and Information Systems Engineering, 58(4), 2016.
P. Karaenke, J. Leukel, and V. Sugumaran.
Using domain ontology for service replacement tasks: An
empirical evaluation.
In Proceedings of the 37th International Conference on
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C. Kroemer, M. Bichler, and A. Goetzendorff.
(Un)expected bidder behavior in spectrum auctions.
INFORMS Group Decision and Negotiation, 25(1):31–63, 2016.
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S. Merting, P. Karaenke, and M. Bichler.
Strategy-Proof Assignment of Bundles with Ordinal Preferences:
An Application in Retail Logistics.
In V. Nissen, D. Stelzer, S. Straßburger, and D. Fischer,
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P. Paulsen and M. Bichler.
A principal-agent model of bidding firms in multi-unit
auctions.
In International Conference on Information Systems (ICIS 2016),
2016.
A. Woke, M. Bichler, F. Chirigati, and V. Steeves.
Reproducible experiments on dynamic resource allocation in cloud
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Information Systems, 59:98–101, 2016.
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A. Wolke, M. Bichler, and T. Setzer.
Planning vs. dynamic control: Resource allocation in corporate
clouds.
IEEE Transactions on Cloud Computing, 4(3):322–335, 2016.
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F. Brandl, F. Brandt, and W. Suksompong.
The impossibility of extending random dictatorship to weak
preferences.
Economics Letters, 141:44–47, 2016.
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J. Hofbauer.
d-dimensional stable matching with cyclic preferences.
Mathematical Social Sciences, 82:72–76, 2016.
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F. Brandl, F. Brandt, and H. G. Seedig.
Consistent probabilistic social choice.
Econometrica, 84(5):1839–1880, 2016.
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Proving the incompatibility of efficiency and strategyproofness
via SMT solving.
In Proceedings of the 25th International Joint Conference on
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Majority graphs of assignment problems and properties of popular
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F. Brandt, C. Geist, and M. Strobel.
Analyzing the practical relevance of voting paradoxes via
Ehrhart theory, computer simulations, and empirical data.
In Proceedings of the 15th International Conference on
Autonomous Agents and Multiagent Systems (AAMAS), pages 385–393, 2016.
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Optimal bounds for the no-show paradox via SAT solving.
In Proceedings of the 15th International Conference on
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F. Brandt, M. Brill, and W. Suksompong.
An ordinal minimax theorem.
Games and Economic Behavior, 95:107–112, 2016.
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F. Brandt and C. Geist.
Finding strategyproof social choice functions via SAT
solving.
Journal of Artificial Intelligence Research, 55:565–602, 2016.
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F. Brandt and M. Brill.
Computing dominance-based solution concepts.
ACM Transactions on Economics and Computation, 5(2):1–22,
2016.
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F. Brandt, C. Geist, and P. Harrenstein.
A note on the McKelvey uncovered set and Pareto
optimality.
Social Choice and Welfare, 46(1):81–91, 2016.
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J. Etesami, N. Kiyavash, K. Zhang, and K. Singhal.
Learning network of multivariate hawkes processes: A time series
approach.
UAI'16, page 162–171. AUAI Press, 2016.
J. Etesami, N. Kiyavash, and T. Coleman.
Learning minimal latent directed information polytrees.
Neural computation, 28(9):1723–1768, 2016.
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