Dimitris Konomis

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Aaron HarlapDetermined AIVerified email at determined.ai
Onur MutluETH Zürich and Carnegie Mellon UniversityVerified email at inf.ethz.ch
Greg GangerJatras Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Phillip GibbonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
Kevin HsiehPrincipal Researcher at MicrosoftVerified email at microsoft.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Graham NeubigCarnegie Mellon University, All Hands AIVerified email at cs.cmu.edu
Pengtao XieAssistant Professor, UC San Diego; Adjunct Faculty, MBZUAIVerified email at eng.ucsd.edu
Christy Yuan Liduke.eduVerified email at duke.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yogesh DahiyaTata Institute of Fundamental Research, Mumbai, IndiaVerified email at imsc.res.in
Christophe DiotGOOGLEVerified email at google.com
Augustin SouleGoogleVerified email at google.com
Branislav KvetonAdobe ResearchVerified email at adobe.com
Muhammad Jehangir AmjadMassachusetts Institute of Technology, Google IncVerified email at mit.edu
T. N. VijaykumarProfessor of ECE, PurdueVerified email at ecn.purdue.edu

Dimitris Konomis

PhD Candidate, MIT

Verified email at mit.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaia:{Geo-Distributed} machine learning approaching {LAN} speeds K Hsieh, A Harlap, N Vijaykumar, D Konomis, GR Ganger, PB Gibbons, ... 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017	558	2017
Convolutional neural networks for medical diagnosis from admission notes C Li, D Konomis, G Neubig, P Xie, C Cheng, E Xing arXiv preprint arXiv:1712.02768, 2017	22	2017
An empirical evaluation of sketching for numerical linear algebra Y Dahiya, D Konomis, DP Woodruff Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	20	2018
Optimal probing with statistical guarantees for network monitoring at scale B Kveton, MJ Amjad, C Diot, D Konomis, A Soule, X Yang Computer Communications 192, 119-131, 2022	2	2022
Scalable and Low Computation Cost Method for Optimizing Sampling/Probing in a Large Scale Network C Diot, MJ Amjad, B Kveton, D Konomis, A Soule, X Yang US Patent App. 17/563,206, 2023		2023
Optimal Probing with Statistical Guarantees for Network Monitoring at Scale M Jehangir Amjad, C Diot, D Konomis, B Kveton, A Soule, X Yang arXiv e-prints, arXiv: 2109.07743, 2021		2021
Empirical Performance of Approximate Algorithms for Low Rank Approximation D Konomis		2018

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