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Martin Lackner

Projektass.(FWF) Dipl.-Ing. Dr.techn.

Martin Lackner

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Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2023

2022

  • Liquid Democracy with Ranked Delegations / Brill, M., Delemazure, T., George, A.-M., Lackner, M., & Schmidt-Kraepelin, U. (2022). Liquid Democracy with Ranked Delegations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 4884–4891). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20417 / Project: SuDeMa
  • Participatory Budgeting with Donations and Diversity Constraints / Chen, J., Lackner, M., & Maly, J. (2022). Participatory Budgeting with Donations and Diversity Constraints. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 9323–9330). AAAI Press. https://doi.org/10.1609/aaai.v36i9.21163 / Project: SuDeMa
  • How to Sample Approval Elections? / Szufa, S., Faliszewski, P., Janeczko, L., Lackner, M., Slinko, A., Sornat, K., & Talmon, N. (2022). How to Sample Approval Elections? In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 496–502). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/71 / Project: SuDeMa

2021

  • Consistent approval-based multi-winner rules / Lackner, M., & Skowron, P. (2021). Consistent approval-based multi-winner rules. Journal of Economic Theory, 192(105173), 105173. https://doi.org/10.1016/j.jet.2020.105173
  • Computing Kemeny Rankings from d-Euclidean Preferences / Hamm, T., Lackner, M., & Rapberger, A. (2021). Computing Kemeny Rankings from d-Euclidean Preferences. In Algorithmic Decision Theory (pp. 147–161). https://doi.org/10.1007/978-3-030-87756-9_10
  • Fairness in Long-Term Participatory Budgeting / Lackner, M., Maly, J., & Rey, S. (2021). Fairness in Long-Term Participatory Budgeting. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. AAMAS 2021 - 20th International Conference on Autonomous Agents and Multiagent Systems, London, UK, International. https://doi.org/10.24963/ijcai.2021/42 / Project: SuDeMa
  • Fairness in Long-Term Participatory Budgeting / Lackner, M., Maly, J., & Rey, S. (2021). Fairness in Long-Term Participatory Budgeting. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence, Montreal, Canada, International. https://doi.org/10.24963/ijcai.2021/42 / Project: SuDeMa
  • Approval-Based Shortlisting / Lackner, M., & Maly, J. (2021). Approval-Based Shortlisting. In AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021 (pp. 737–745). http://hdl.handle.net/20.500.12708/58557

2020

2019

  • Aggregating Expert Opinions in Support of Medical Diagnostic Decision-Making / Gangl, C., Lackner, M., Maly, J., & Woltran, S. (2019). Aggregating Expert Opinions in Support of Medical Diagnostic Decision-Making. In Knowledge Representation for Health Care/ProHealth, KR4HC 2019 (pp. 56–62). http://hdl.handle.net/20.500.12708/57907 / Projects: START, SuDeMa
  • A Quantitative Analysis of Multi-Winner Rules / Lackner, M., & Skowron, P. (2019). A Quantitative Analysis of Multi-Winner Rules. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019, Macao, China, August 10-16, 2019. IJCAI 2019 - 28th International Joint Conference on Artificial Intelligence, Macao, China, Non-EU. ijcai.org. https://doi.org/10.24963/ijcai.2019 / Project: SuDeMa
  • On Rational Delegations in Liquid Democracy / Bloembergen, D., Grossi, D., & Lackner, M. (2019). On Rational Delegations in Liquid Democracy. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 1796–1803). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33011796 / Project: SuDeMa

2018

  • Consistent Approval-Based Multi-Winner Rules / Lackner, M., & Skowron, P. (2018). Consistent Approval-Based Multi-Winner Rules. In Proceedings of the 2018 ACM Conference on Economics and Computation. ACM Conference on Economics and Computation, Ithaca, New York, USA, Non-EU. https://doi.org/10.1145/3219166.3219170 / Projects: FAIR, START
  • On the Complexity of Extended and Proportional Justified Representation / Lackner, M., Aziz, H., Elkind, E., Huang, S., Sánchez-Fernández, L., & Skowron, P. (2018). On the Complexity of Extended and Proportional Justified Representation. In Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in Artificial Intelligence (EAAI-18) (pp. 902–909). AAAI Press. http://hdl.handle.net/20.500.12708/57543 / Projects: FAIR, START
  • Effective Heuristics for Committee Scoring Rules / Lackner, M., Faliszewski, P., Peters, D., & Talmon, N. (2018). Effective Heuristics for Committee Scoring Rules. In Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in Artificial Intelligence (EAAI-18) (pp. 1023–1030). AAAI Press. http://hdl.handle.net/20.500.12708/57542 / Projects: FAIR, START
  • Multiwinner Elections With Diversity Constraints / Lackner, M., Bredereck, R., Faliszewski, P., Igarashi, A., & Skowron, P. (2018). Multiwinner Elections With Diversity Constraints. In Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in Artificial Intelligence (EAAI-18) (pp. 933–940). AAAI Press. http://hdl.handle.net/20.500.12708/57541 / Projects: FAIR, START
  • Approval-Based Multi-Winner Rules and Strategic Voting / Lackner, M., & Skowron, P. (2018). Approval-Based Multi-Winner Rules and Strategic Voting. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. IJCAI - International Joint Conference on Artificial Intelligence, Stockholm, EU. ijcai.org. https://doi.org/10.24963/ijcai.2018/47 / Projects: FAIR, START
  • Computing the Schulze Method for Large-Scale Preference Data Sets / Csar, T., Lackner, M., & Pichler, R. (2018). Computing the Schulze Method for Large-Scale Preference Data Sets. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. IJCAI - International Joint Conference on Artificial Intelligence, Stockholm, EU. ijcai.org. https://doi.org/10.24963/ijcai.2018/25 / Projects: FAIR, HyperTrac, START
  • A Quantitative Analysis of Multi-Winner Rules / Lackner, M., & Skowron, P. (2018). A Quantitative Analysis of Multi-Winner Rules. In Proceedings of the 7th International Workshop on Computational Social Choice (COMSOC 2018) (pp. 1–29). Computing Research Repository (CoRR). http://hdl.handle.net/20.500.12708/57490 / Projects: FAIR, START

2017

2016

  • Winner Determination in Huge Elections with MapReduce / Csar, T., Lackner, M., Pichler, R., & Sallinger, E. (2016). Winner Determination in Huge Elections with MapReduce. In M. Endres, N. Mattei, & A. Pfandler (Eds.), 10th Multidisciplinary Workshop on Advances in Preference Handling (p. 7). http://hdl.handle.net/20.500.12708/56661 / Projects: FAIR, HINT, SEE, START

2015

  • Structure in Dichotomous Preferences / Elkind, E., & Lackner, M. (2015). Structure in Dichotomous Preferences. In Q. Yang & M. Wooldridge (Eds.), Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 (pp. 2019–2025). AAAI Press. http://hdl.handle.net/20.500.12708/56255 / Project: START
  • Manipulation of k-Approval in Nearly Single-Peaked Electorates / Erdélyi, G., Lackner, M., & Pfandler, A. (2015). Manipulation of k-Approval in Nearly Single-Peaked Electorates. In T. Walsh (Ed.), Algorithmic Decision Theory (pp. 71–85). Springer. https://doi.org/10.1007/978-3-319-23114-3_5 / Projects: FAIR, START
  • The Complexity of Recognizing Incomplete Single-Crossing Preferences / Elkind, E., Faliszewski, P., Lackner, M., & Obraztsova, S. (2015). The Complexity of Recognizing Incomplete Single-Crossing Preferences. In B. Bonet & S. Koenig (Eds.), Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA (pp. 865–871). AAAI Press. http://hdl.handle.net/20.500.12708/56103 / Project: SEE

2014

  • On Detecting Nearly Structured Preference Profiles / Lackner, M., & Elkind, E. (2014). On Detecting Nearly Structured Preference Profiles. Workshop on Challenges in Algorithmic Social Choice (CASC), Bad Belzig, Deutschland, EU. http://hdl.handle.net/20.500.12708/85941
  • The Likelihood of Structure in Preference Profiles / Bruner, M.-L., & Lackner, M. (2014). The Likelihood of Structure in Preference Profiles. 8th Multidisciplinary Workshop on Advances in Preference Handling, Quebec, Kanada, Non-EU. http://hdl.handle.net/20.500.12708/85942
  • On the Parameterized Complexity of Generalized CP-Nets / Kronegger, M., Lackner, M., Pfandler, A., & Pichler, R. (2014). On the Parameterized Complexity of Generalized CP-Nets. Workshop on Challenges in Algorithmic Social Choice (CASC), Bad Belzig, Deutschland, EU. http://hdl.handle.net/20.500.12708/85939 / Project: FAIR
  • Detecting structure in permutations and preferences / Lackner, M. (2014). Detecting structure in permutations and preferences [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.24943
  • A Parameterized Complexity Analysis of Generalized CP-Nets / Kronegger, M., Lackner, M., Pfandler, A., & Pichler, R. (2014). A Parameterized Complexity Analysis of Generalized CP-Nets. In M. R. Fellows, S. Gaspers, & T. Walsh (Eds.), Proceedings of the 2nd Workshop on the Parameterized Complexity of Computational Reasoning (PCCR) (p. 2). http://hdl.handle.net/20.500.12708/55773 / Project: FAIR
  • On Detecting Nearly Structured Preference Profiles / Elkind, E., & Lackner, M. (2014). On Detecting Nearly Structured Preference Profiles. In C. E. Brodley & P. Stone (Eds.), Proceedings of the Twenty-Eighth AAAI Conference on Aritifical Intelligence (pp. 661–667). http://hdl.handle.net/20.500.12708/55796
  • A Parameterized Complexity Analysis of Generalized CP-Nets / Kronegger, M., Lackner, M., Pfandler, A., & Pichler, R. (2014). A Parameterized Complexity Analysis of Generalized CP-Nets. In C. E. Brodley & P. Stone (Eds.), Proceedings of the Twenty-Eighth AAAI Conference on Aritifical Intelligence (pp. 1091–1097). http://hdl.handle.net/20.500.12708/55793 / Project: FAIR
  • Incomplete Preferences in Single-Peaked Electorates / Lackner, M. (2014). Incomplete Preferences in Single-Peaked Electorates. In C. E. Brodley & P. Stone (Eds.), Proceedings of the Twenty-Eighth AAAI Conference on Aritifical Intelligence (pp. 742–748). http://hdl.handle.net/20.500.12708/55786

2013

2012

  • Fixed-Parameter Algorithms for Finding Minimal Models / Lackner, M., & Pfandler, A. (2012). Fixed-Parameter Algorithms for Finding Minimal Models. Logic and interactions 2012, CIRM, Marseille, France, EU. http://hdl.handle.net/20.500.12708/85367
  • Permutation Pattern Matching and its Parameterized Complexity / Lackner, M., & Bruner, M.-L. (2012). Permutation Pattern Matching and its Parameterized Complexity. Conference on Computability in Europe CiE, Cambridge, Great Britain, EU. http://hdl.handle.net/20.500.12708/85363
  • A Fast Algorithm for Permutation Pattern Matching / Lackner, M. (2012). A Fast Algorithm for Permutation Pattern Matching. Universität Siegen, Siegen, Deutschland, EU. http://hdl.handle.net/20.500.12708/85375
  • Fixed-Parameter Algorithms for Finding Minimal Models / Lackner, M., & Pfandler, A. (2012). Fixed-Parameter Algorithms for Finding Minimal Models. Universität Siegen, Siegen, Deutschland, EU. http://hdl.handle.net/20.500.12708/85373
  • Fixed-Parameter Algorithms for Closed World Reasoning / Lackner, M., & Pfandler, A. (2012). Fixed-Parameter Algorithms for Closed World Reasoning. In L. D. Raedt, C. Bessiere, D. Dubois, P. Doherty, P. Frasconi, F. Heintz, & P. Lucas (Eds.), Proceedings of the ECAI Conference (pp. 492–497). IOS Press. http://hdl.handle.net/20.500.12708/54183
  • Multicut on Graphs of Bounded Clique-Width / Lackner, M., Pichler, R., Rümmele, S., & Woltran, S. (2012). Multicut on Graphs of Bounded Clique-Width. In G. Lin (Ed.), Combinatorial Optimization and Applications (pp. 115–126). Springer. https://doi.org/10.1007/978-3-642-31770-5_11 / Project: TTPC
  • A Fast Algorithm for Permutation Pattern Matching Based on Alternating Runs / Lackner, M., & Bruner, M.-L. (2012). A Fast Algorithm for Permutation Pattern Matching Based on Alternating Runs. In F. Fomin & P. Kaski (Eds.), Algorithm Theory – SWAT 2012 (pp. 261–270). Springer. https://doi.org/10.1007/978-3-642-31155-0_23
  • Fixed-Parameter Algorithms for Finding Minimal Models / Lackner, M., & Pfandler, A. (2012). Fixed-Parameter Algorithms for Finding Minimal Models. In G. Brewka, T. Eiter, & S. McIlraith (Eds.), Proceedings of 13#^{th} int. conf. on Principles of Knowledge Representation and Reasoning (p. 11). AAAI Press. http://hdl.handle.net/20.500.12708/54179 / Project: TTPC
  • The Complexity of Nearly Single-Peaked Consistency / Erdély, G., Lackner, M., & Pfandler, A. (2012). The Complexity of Nearly Single-Peaked Consistency. In F. Brandt & P. Faliszewski (Eds.), Proceedings of fourth int. conference on Computational Social Choice (p. 12). http://hdl.handle.net/20.500.12708/54178 / Project: TTPC

2011

  • On the fixed-parameter tractability of computing minimal models / Lackner, M. (2011). On the fixed-parameter tractability of computing minimal models. Workshop - Parameterized Complexity: Not About Graphs, Darwin, Australien, Non-EU. http://hdl.handle.net/20.500.12708/85368
  • Hardness results for Weighted Minimal Model SAT / Pfandler, A., & Lackner, M. (2011). Hardness results for Weighted Minimal Model SAT. Workshop - Parameterized Complexity: Not About Graphs, Darwin, Australien, Non-EU. http://hdl.handle.net/20.500.12708/85217
  • Algorithms for finding minimal models / Lackner, M., & Pfandler, A. (2011). Algorithms for finding minimal models. Workshop - Parameterized Complexity: Not About Graphs, Darwin, Australien, Non-EU. http://hdl.handle.net/20.500.12708/85216

2010

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.