| Fair hierarchical clustering S Ahmadian, A Epasto, M Knittel, R Kumar, M Mahdian, B Moseley, ... Advances in Neural Information Processing Systems 33, 21050-21060, 2020 | 54 | 2020 |
| Streaming and massively parallel algorithms for edge coloring S Behnezhad, M Derakhshan, MT Hajiaghayi, M Knittel, H Saleh 27th Annual European Symposium on Algorithms (ESA 2019), 2019 | 30 | 2019 |
| Multiple optimal reconciliations under the duplication-loss-coalescence model H Du, YS Ong, M Knittel, R Mawhorter, N Liu, G Gross, R Tojo, ... IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2019 | 9 | 2019 |
| Dream: An algorithm for mitigating the overhead of robust rescheduling JR Abrahams, DA Chu, G Diehl, M Knittel, J Lin, W Lloyd, JC Boerkoel Jr, ... Proceedings of the International Conference on Automated Planning and …, 2019 | 9 | 2019 |
| Matching affinity clustering: Improved hierarchical clustering at scale with guarantees MT Hajiaghayi, M Knittel Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 8* | 2020 |
| The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations M Knittel, S Dooley, JP Dickerson arXiv preprint arXiv:2202.11095, 2022 | 7 | 2022 |
| Adaptive Massively Parallel Constant-Round Tree Contraction MT Hajiaghayi, M Knittel, H Saleh, HH Su arXiv preprint arXiv:2111.01904, 2021 | 7 | 2021 |
| Generalized reductions: making any hierarchical clustering fair and balanced with low cost M Knittel, M Springer, JP Dickerson, MT Hajiaghayi International Conference on Machine Learning, 17218-17242, 2023 | 4 | 2023 |
| Massively parallel tree embeddings for high dimensional spaces AM Ahanchi, A Andoni, MT Hajiaghayi, M Knittel, P Zhong Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and …, 2023 | 4 | 2023 |
| Fair, polylog-approximate low-cost hierarchical clustering M Knittel, M Springer, J Dickerson, MT Hajiaghayi Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Adaptive Massively Parallel Algorithms for Cut Problems MT Hajiaghayi, M Knittel, J Olkowski, H Saleh Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and …, 2022 | 3 | 2022 |
| Scalable equilibrium computation in multi-agent influence games on networks F Christia, M Curry, C Daskalakis, E Demaine, JP Dickerson, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5277-5285, 2021 | 3 | 2021 |
| Fairness in clustering P Awasthi, B Brubach, D Chakrabarty, JP Dickerson, SA Esmaeili, ... Conference on Artificial Intelligence (AAAI), 2022 | 2 | 2022 |
| Fairness in Clustering B Brubach, D Chakrabarty, JP Dickerson, S Esmaeili, M Kleindessner, ... | 1 | 2022 |
| Fair and Scalable Algorithms on Massive Graphs M Knittel University of Maryland, College Park, 2023 | | 2023 |
| Improved Hierarchical Clustering on Massive Datasets with Broad Guarantees MT Hajiaghayi, M Knittel arXiv preprint arXiv:2101.04818, 2021 | | 2021 |
| Fair Hierarchical Clustering A Epasto, B Moseley, M Knittel, M Mahdian, P Pham, RK Ravikumar, ... | | 2020 |
| Brief Announcement: Streaming and Massively Parallel Algorithms for Edge Coloring S Behnezhad, M Derakhshan, MT Hajiaghayi, M Knittel, H Saleh 33rd International Symposium on Distributed Computing (DISC 2019), 2019 | | 2019 |
| Trade-offs Between Communication, Rescheduling, and Success Rate in Uncertain Multi-Agent Schedules DA Chu, G Diehl, M Knittel, J Lin, L Lloyd, JC Boerkoel Jr, J Frank | | 2018 |
