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ORCIDMarina Knittel
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2020 – today
- 2023
[b1]Marina Knittel:
Fair and Scalable Algorithms on Massive Graphs. University of Maryland, College Park, MD, USA, 2023- [c12]Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi:
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost. ICML 2023: 17218-17242 - [c11]Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi:
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering. NeurIPS 2023 - [c10]AmirMohsen Ahanchi
, Alexandr Andoni, MohammadTaghi Hajiaghayi, Marina Knittel, Peilin Zhong:
Massively Parallel Tree Embeddings for High Dimensional Spaces. SPAA 2023: 77-88 - [i7]Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi:
Fair Polylog-Approximate Low-Cost Hierarchical Clustering. CoRR abs/2311.12501 (2023) - 2022
- [c9]Marina Knittel, Samuel Dooley, John P. Dickerson:
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. IJCAI 2022: 356-362 - [c8]MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh, Hsin-Hao Su:
Adaptive Massively Parallel Constant-Round Tree Contraction. ITCS 2022: 83:1-83:23 - [c7]MohammadTaghi Hajiaghayi, Marina Knittel, Jan Olkowski, Hamed Saleh:
Adaptive Massively Parallel Algorithms for Cut Problems. SPAA 2022: 23-33 - [i6]Marina Knittel, Samuel Dooley, John P. Dickerson:
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. CoRR abs/2202.11095 (2022) - [i5]MohammadTaghi Hajiaghayi, Marina Knittel, Jan Olkowski, Hamed Saleh:
Adaptive Massively Parallel Algorithms for Cut Problems. CoRR abs/2205.14101 (2022) - [i4]Marina Knittel, John P. Dickerson, MohammadTaghi Hajiaghayi:
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost. CoRR abs/2205.14198 (2022) - 2021
- [j1]Haoxing Du, Yi Sheng Ong, Marina Knittel, Ross Mawhorter, Nuo Liu, Gianluca Gross, Reiko Tojo, Ran Libeskind-Hadas, Yi-Chieh Wu:
Multiple Optimal Reconciliations Under the Duplication-Loss-Coalescence Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2144-2156 (2021) - [c6]Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff:
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. AAAI 2021: 5277-5285 - [i3]MohammadTaghi Hajiaghayi, Marina Knittel:
Improved Hierarchical Clustering on Massive Datasets with Broad Guarantees. CoRR abs/2101.04818 (2021) - [i2]MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh, Hsin-Hao Su:
Adaptive Massively Parallel Constant-round Tree Contraction. CoRR abs/2111.01904 (2021) - 2020
- [c5]MohammadTaghi Hajiaghayi, Marina Knittel:
Matching Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees. AAMAS 2020: 1864-1866 - [c4]Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang:
Fair Hierarchical Clustering. NeurIPS 2020 - [i1]Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang:
Fair Hierarchical Clustering. CoRR abs/2006.10221 (2020)
2010 – 2019
- 2019
- [c3]Jordan R. Abrahams, David A. Chu, Grace Diehl, Marina Knittel, Judy Lin, William Lloyd, James C. Boerkoel Jr., Frank Jeremy:
DREAM: An Algorithm for Mitigating the Overhead of Robust Rescheduling. ICAPS 2019: 3-12 - [c2]Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh:
Streaming and Massively Parallel Algorithms for Edge Coloring. ESA 2019: 15:1-15:14 - [c1]Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh:
Brief Announcement: Streaming and Massively Parallel Algorithms for Edge Coloring. DISC 2019: 36:1-36:3
Coauthor Index
aka: MohammadTaghi Hajiaghayi
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