Benjamin Moseley

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Sungjin ImUniversity of California, MercedPreverjeni e-poštni naslov na ucmerced.edu
Sergei VassilvitskiiGooglePreverjeni e-poštni naslov na google.com
Kirk PruhsProfessor of Computer Science, University of PittsburghPreverjeni e-poštni naslov na cs.pitt.edu
Thomas LavastidaAssistant Professor, Jindal School of Management, University of Texas at DallasPreverjeni e-poštni naslov na utdallas.edu
Kefu LuWashington and Lee UniversityPreverjeni e-poštni naslov na wlu.edu
Silvio LattanziResearch Scientist at GooglePreverjeni e-poštni naslov na google.com
Andrea VattaniML Leadership at Reddit, Computer Science PhD from UC San DiegoPreverjeni e-poštni naslov na cs.ucsd.edu
Gustavo MalkomesIntelPreverjeni e-poštni naslov na intel.com
Kunal AgrawalAssociate Professor of Computer Science and Engineering, Washington University in St LouisPreverjeni e-poštni naslov na wustl.edu
Hung Q. NgoRelationalAIPreverjeni e-poštni naslov na relational.ai
Roman GarnettWashington University in St. LouisPreverjeni e-poštni naslov na wustl.edu
Clifford SteinProfessor of IEOR and CS, Columbia UniversityPreverjeni e-poštni naslov na ieor.columbia.edu
Bahman BahmaniStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Chandra ChekuriProfessor of Computer Science, University of Illinois, Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Emily FoxDepartment of Computer Science, The University of Texas at DallasPreverjeni e-poštni naslov na utdallas.edu
Jing LiYing Wu College of Computing, NJITPreverjeni e-poštni naslov na njit.edu
Mahmoud Abo KhamisRelationalAI ([email protected])Preverjeni e-poštni naslov na relational.ai
Shali JiangFacebookPreverjeni e-poštni naslov na wustl.edu
Ravishankar KrishnaswamyMicrosoft ResearchPreverjeni e-poštni naslov na cs.cmu.edu
Samuel McCauleyWilliams CollegePreverjeni e-poštni naslov na cs.williams.edu

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Benjamin Moseley

Carnegie Mellon University

Preverjeni e-poštni naslov na andrew.cmu.edu - Domača stran

Algorithms Machine Learning Discrete Optimization


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Scalable k-means++ B Bahmani, B Moseley, A Vattani, R Kumar, S Vassilvitskii arXiv preprint arXiv:1203.6402, 2012	1005	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	329	2011
Fast clustering using MapReduce A Ene, S Im, B Moseley Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	291	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	285	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	220	2020
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	149	2023
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	147	2011
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	144	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	106	2015
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	79	2020
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	68	2017
Efficient nonmyopic active search S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett International Conference on Machine Learning, 1714-1723, 2017	64	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	61	2012
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	60	2020
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	58	2020
A tutorial on amortized local competitiveness in online scheduling S Im, B Moseley, K Pruhs ACM SIGACT News 42 (2), 83-97, 2011	53	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	48	2016
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	44	2011
Online scheduling on identical machines using SRPT K Fox, B Moseley Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete …, 2011	42	2011
Backprop with approximate activations for memory-efficient network training A Chakrabarti, B Moseley Advances in Neural Information Processing Systems 32, 2019	41	2019

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