Items where Author is "Dadush, Daniel"

Article

Dadush, Daniel, Koh, Zhuan Khye, Natura, Bento and Végh, László A. ORCID: 0000-0003-1152-200X (2023) An accelerated Newton–Dinkelbach method and its application to two variables per inequality systems. Mathematics of Operations Research, 48 (4). 1934 - 1958. ISSN 0364-765X

Dadush, Daniel, Huiberts, Sophie, Natura, Bento and Végh, László A. ORCID: 0000-0003-1152-200X (2023) A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. Mathematical Programming. ISSN 0025-5610

Dadush, Daniel, Végh, László A. ORCID: 0000-0003-1152-200X and Zambelli, Giacomo (2021) Geometric rescaling algorithms for submodular function minimization. Mathematics of Operations Research, 46 (3). 1081 - 1108. ISSN 0364-765X

Dadush, Daniel, Végh, László A. ORCID: 0000-0003-1152-200X and Zambelli, Giacomo (2020) Rescaling algorithms for linear conic feasibility. Mathematics of Operations Research, 45 (2). 732 - 754. ISSN 0364-765X

Book Section

Dadush, Daniel, Koh, Zhuan Khye, Natura, Bento, Olver, Neil ORCID: 0000-0001-8897-5459 and Végh, László A. ORCID: 0000-0003-1152-200X (2024) A strongly polynomial algorithm for linear programs with at most two nonzero entries per row or column. In: Proceedings of the 56th Annual ACM Symposium on Theory of Computing (STOC ’24), June 24–28. ACM Press, New York, NY, USA. (In Press)

Dadush, Daniel, Koh, Zhuan Khye, Natura, Bento and Végh, László A A. ORCID: 0000-0003-1152-200X (2022) On circuit diameter bounds via circuit imbalances. In: Aardal, Karen and Sanità, Laura, (eds.) Integer Programming and Combinatorial Optimization - 23rd International Conference, IPCO 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13265. Springer Science and Business Media Deutschland GmbH, 140 - 153. ISBN 9783031069000

Dadush, Daniel, Végh, László A. ORCID: 0000-0003-1152-200X and Zambelli, Giacomo (2022) On finding exact solutions of linear programs in the oracle model. In: Naor, Joseph (Seffi) and Buchbinder, Niv, (eds.) Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2700 - 2722. ISBN 9781611977073

Dadush, Daniel, Koh, Zhuan Khye, Natura, Bento and Végh, László A. ORCID: 0000-0003-1152-200X (2021) An accelerated Newton-dinkelbach method and its application to two variables per inequality systems. In: Mutzel, Petra, Pagh, Rasmus and Herman, Grzegorz, (eds.) 29th Annual European Symposium on Algorithms, ESA 2021. Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. ISBN 9783959772044

Borst, Sander, Dadush, Daniel, Olver, Neil ORCID: 0000-0001-8897-5459 and Sinha, Makrand (2021) Majorizing measures for the optimizer. In: Lee, James R., (ed.) 12th Innovations in Theoretical Computer Science Conference, ITCS 2021. Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. ISBN 9783959771771

Dadush, Daniel, Natura, Bento and Végh, László A. ORCID: 0000-0003-1152-200X (2020) Revisiting Tardos's framework for linear programming: faster exact solutions using approximate solvers. In: Proceedings of The 61st Annual Symposium on Foundations of Computer Science (FOCS 2020), November 16-19. IEEE Computer Society, pp. 931-942.

Dadush, Daniel, Huiberts, Sophie, Natura, Bento and Végh, László A. ORCID: 0000-0003-1152-200X (2020) A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. In: Makarychev, Konstantin, Makarychev, Yury, Tulsiani, Madhur, Kamath, Gautam and Chuzhoy, Julia, (eds.) STOC 2020 - Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing. Proceedings of the Annual ACM Symposium on Theory of Computing. Association for Computing Machinery, USA, pp. 761-774. ISBN 9781450369794

Dadush, Daniel, Végh, László A. ORCID: 0000-0003-1152-200X and Zambelli, Giacomo (2018) Geometric rescaling algorithms for submodular function minimization. In: Czumaj, Artur, (ed.) Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms. Proceedings. Society for Industrial and Applied Mathematics, Philadelphia, USA, pp. 832-848. ISBN 978-611975031

Dadush, Daniel, Végh, László A. ORCID: 0000-0003-1152-200X and Zambelli, Giacomo (2016) Rescaled coordinate descent methods for linear programming. In: Louveaux, Quentin and Skutella, Martin, (eds.) Integer Programming and Combinatorial Optimization. Lecture Notes in Computer Science. Springer Berlin / Heidelberg, Cham, Switzerland, pp. 26-37. ISBN 9783319334608

Conference or Workshop Item

Dadush, Daniel, Guzmán, Cristóbal and Olver, Neil ORCID: 0000-0001-8897-5459 (2018) Fast, deterministic and sparse dimensionality reduction. In: ACM SIAM Symposium on Discrete Algorithms, 2018-01-07 - 2018-01-10, Astor Crowne Plaza, New Orleans, United States.