Google Scholar profile

Conference Papers

• AgreeSum: Agreement-Oriented Multi-Document Summarization (arXiv).
  Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran, and Cong Yu.
  Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
  
  
• Quiz-Style Question Generation for News Stories (arXiv).
  Adam D. Lelkes, Vinh Q. Tran, and Cong Yu.
  In Proceedings of The Web Conference 2021.
  
  
• Investigating Rumor News Using Agreement-Aware Search (arXiv).
  Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, and Jiawei Han.
  In Proceedings of the 2018 ACM on Conference on Information and Knowledge Management (CIKM 2018).
  
  
• A Confidence-Based Approach for Balancing Fairness and Accuracy (arXiv).
  Benjamin Fish, Ádám D. Lelkes, and Jeremy Kun.
  In Proceedings of the 2016 SIAM International Conference on Data Mining (SDM 2016).
  
  
• On the Computational Complexity of MapReduce (arXiv).
  Benjamin Fish, Jeremy Kun, Ádám D. Lelkes, Lev Reyzin, and György Turán.
  In Proceedings of the 29th International Symposium on Distributed Computing (DISC 2015).
  
  
• Interactive Clustering of Linear Classes and Cryptographic Lower Bounds (pdf, slides).
  Ádám D. Lelkes and Lev Reyzin.
  In Proceedings of the 26th International Conference on Algorithmic Learning Theory (ALT 2015).
  
  

Journal Papers

• Network installation under convex costs (journal).
  Alexander Gutfraind, Jeremy Kun, Ádám D. Lelkes, and Lev Reyzin.
  In Journal of Complex Networks, Volume 4, Issue 2.
  
  
• Improved algorithms for splitting full matrix algebras (arXiv).
  Gábor Ivanyos, Ádám D. Lelkes, and Lajos Rónyai.
  JP Journal of Algebra, Number Theory and Applications 28 (2013), 141--156.
  
  

Workshop Papers

• Fair boosting: A case study (pdf). Benjamin Fish, Jeremy Kun, and Ádám D. Lelkes.
  ICML 2015 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT ML 2015).
  
  
• Biclique coverings, rectifier networks and the cost of ε-removal (arXiv).
  Szabolcs Iván, Ádám D. Lelkes, Judit Nagy-György, Balázs Szörényi, and György Turán.
  In Proceedings of the 16th International Workshop on Descriptional Complexity of Formal Systems (DFCS 2014).
  
  

Theses

• Algorithms and Complexity Results for Learning and Big Data (pdf)
  Advised by Lev Reyzin and György Turán.
  Ph.D. Thesis, 2017.
  
  
• Small zero divisors in maximal orders of M_n(Q) (pdf)
  Advised by Lajos Rónyai.
  B.Sc. Thesis, 2012.