Benjamin Moseley

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Sungjin ImUniversity of California, MercedVerified email at ucmerced.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Kirk PruhsProfessor of Computer Science, University of PittsburghVerified email at cs.pitt.edu
Ravi KumarGoogleVerified email at google.com
Thomas LavastidaAssistant Professor, Jindal School of Management, University of Texas at DallasVerified email at utdallas.edu
Kefu LuWashington and Lee UniversityVerified email at wlu.edu
Silvio LattanziResearch Scientist at GoogleVerified email at google.com
Andrea VattaniML Leadership at Reddit, Computer Science PhD from UC San DiegoVerified email at cs.ucsd.edu
Gustavo MalkomesIntelVerified email at intel.com
Kunal AgrawalAssociate Professor of Computer Science and Engineering, Washington University in St LouisVerified email at wustl.edu
Hung Q. NgoRelationalAIVerified email at relational.ai
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
Bahman BahmaniStanford UniversityVerified email at cs.stanford.edu
Chandra ChekuriProfessor of Computer Science, University of Illinois, Urbana-ChampaignVerified email at illinois.edu
Clifford SteinProfessor of IEOR and CS, Columbia UniversityVerified email at ieor.columbia.edu
Emily FoxDepartment of Computer Science, The University of Texas at DallasVerified email at utdallas.edu
Shali JiangFacebookVerified email at wustl.edu
Jing LiYing Wu College of Computing, NJITVerified email at njit.edu
Mahmoud Abo KhamisRelationalAI (mahmoud.abokhamis@relational.ai)Verified email at relational.ai
Ravishankar KrishnaswamyMicrosoft ResearchVerified email at cs.cmu.edu

Benjamin Moseley

Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

Algorithms Machine Learning Discrete Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scalable k-means++ B Bahmani, B Moseley, A Vattani, R Kumar, S Vassilvitskii arXiv preprint arXiv:1203.6402, 2012	980	2012
Filtering: a method for solving graph problems in mapreduce S Lattanzi, B Moseley, S Suri, S Vassilvitskii Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011	322	2011
Fast clustering using MapReduce A Ene, S Im, B Moseley Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	295	2011
Fast greedy algorithms in mapreduce and streaming R Kumar, B Moseley, S Vassilvitskii, A Vattani ACM Transactions on Parallel Computing (TOPC) 2 (3), 1-22, 2015	275	2015
Online scheduling via learned weights S Lattanzi, T Lavastida, B Moseley, S Vassilvitskii Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020	199	2020
On scheduling in map-reduce and flow-shops B Moseley, A Dasgupta, R Kumar, T Sarlós Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011	148	2011
Approximation bounds for hierarchical clustering: Average linkage, bisecting k-means, and local search B Moseley, JR Wang Journal of Machine Learning Research 24 (1), 1-36, 2023	139	2023
Local search methods for k-means with outliers S Gupta, R Kumar, K Lu, B Moseley, S Vassilvitskii Proceedings of the VLDB Endowment 10 (7), 757-768, 2017	136	2017
Fast distributed k-center clustering with outliers on massive data G Malkomes, MJ Kusner, W Chen, KQ Weinberger, B Moseley Advances in Neural Information Processing Systems 28, 2015	99	2015
Efficient massively parallel methods for dynamic programming S Im, B Moseley, X Sun Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	69	2017
Learnable and instance-robust predictions for online matching, flows and load balancing T Lavastida, B Moseley, R Ravi, C Xu arXiv preprint arXiv:2011.11743, 2020	68	2020
Efficient nonmyopic active search S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett International Conference on Machine Learning, 1714-1723, 2017	61	2017
Scheduling heterogeneous processors isn't as easy as you think A Gupta, S Im, R Krishnaswamy, B Moseley, K Pruhs Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	59	2012
Functional aggregate queries with additive inequalities MA Khamis, RR Curtin, B Moseley, HQ Ngo, XL Nguyen, D Olteanu, ... ACM Transactions on Database Systems (TODS) 45 (4), 1-41, 2020	56	2020
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	53	2020
A tutorial on amortized local competitiveness in online scheduling S Im, B Moseley, K Pruhs ACM SIGACT News 42 (2), 83-97, 2011	52	2011
Scheduling parallel DAG jobs online to minimize average flow time K Agrawal, J Li, K Lu, B Moseley Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016	44	2016
Online scheduling on identical machines using SRPT K Fox, B Moseley Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete …, 2011	41	2011
An Online Scalable Algorithm for Minimizing ℓ_k-norms of Weighted Flow Time on Unrelated Machines S Im, B Moseley Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete …, 2011	40	2011
Energy efficient scheduling of parallelizable jobs K Fox, S Im, B Moseley Theoretical Computer Science 726, 30-40, 2018	38	2018

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