Dan Feldman

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Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITVerified email at csail.mit.edu
Christian SohlerProfessor for Algorithmic Data Analysis, University of CologneVerified email at uni-koeln.de
Amos FiatProfessor of Computer Science, Tel Aviv UniversityVerified email at tau.ac.il
Hayim ShaulmitVerified email at mit.edu
Morteza MonemizadehAssistant Professor at Eindhoven University of Technology, the NetherlandsVerified email at tue.nl
Matthew FaulknerCaltechVerified email at caltech.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Melanie SchmidtHeinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Guy RosmanToyota Research Institute; Massachusetts General HospitalVerified email at csail.mit.edu
Michael LangbergUniversity at BuffaloVerified email at buffalo.edu
Kobbi NissimDept. of Computer Science (Georgetown)Verified email at georgetown.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityVerified email at post.tau.ac.il
Mario LučićResearch Scientist, Google DeepMindVerified email at google.com
Micha FeiginMassachusetts Institute of TechnologyVerified email at mit.edu
Nir SochenProfessor of Applied Mathematics, Tel-Aviv University, IsraelVerified email at post.tau.ac.il
Stephanie GilAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
Ross A. KnepperSenior Applied Scientist, AmazonVerified email at amazon.com
Brian J. JulianGraduate Student, Electrical Engineering and Computer Science, MITVerified email at mit.edu

Dan Feldman

University of Haifa

Verified email at csail.mit.edu - Homepage

Provable Data Summarization Machine/Deep Learning Computer Vision Computational Geometry


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Turning Big Data Into Tiny Data: Constant-Size Coresets for -Means, PCA, and Projective Clustering D Feldman, M Schmidt, C Sohler SIAM Journal on Computing 49 (3), 601-657, 2020	653	2020
A unified framework for approximating and clustering data D Feldman, M Langberg Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011	512	2011
A PTAS for k-means clustering based on weak coresets D Feldman, M Monemizadeh, C Sohler Proceedings of the twenty-third annual symposium on Computational geometry …, 2007	228	2007
Provable filter pruning for efficient neural networks L Liebenwein, C Baykal, H Lang, D Feldman, D Rus arXiv preprint arXiv:1911.07412, 2019	185	2019
Scalable training of mixture models via coresets D Feldman, M Faulkner, A Krause Advances in neural information processing systems 24, 2011	178	2011
New frameworks for offline and streaming coreset constructions V Braverman, D Feldman, H Lang, A Statman, S Zhou arXiv preprint arXiv:1612.00889, 2016	172	2016
The solution for data analysis and presentation graphics D Feldman, J Ganon, R Haffman, J Simpson Abacus Lancripts, Inc., Berkeley, USA, 2003	168	2003
Private coresets D Feldman, A Fiat, H Kaplan, K Nissim Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009	165	2009
Training gaussian mixture models at scale via coresets M Lucic, M Faulkner, A Krause, D Feldman Journal of Machine Learning Research 18 (160), 1-25, 2018	144	2018
Coresets and sketches for high dimensional subspace approximation problems D Feldman, M Monemizadeh, C Sohler, DP Woodruff Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010	118	2010
Core-sets: Updated survey D Feldman Sampling techniques for supervised or unsupervised tasks, 23-44, 2020	106	2020
StatView II: the solution for data analysis and presentation graphics DS Feldman Jr, J Gagnon, R Hofman, J Simpson Abacus Concepts, Berkeley, 1987	106	1987
Data-dependent coresets for compressing neural networks with applications to generalization bounds C Baykal, L Liebenwein, I Gilitschenski, D Feldman, D Rus arXiv preprint arXiv:1804.05345, 2018	93	2018
Trajectory clustering for motion prediction C Sung, D Feldman, D Rus 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	85	2012
Data reduction for weighted and outlier-resistant clustering D Feldman, LJ Schulman Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	84	2012
Dimensionality reduction of massive sparse datasets using coresets D Feldman, M Volkov, D Rus Advances in neural information processing systems 29, 2016	71	2016
Fast and accurate least-mean-squares solvers A Maalouf, I Jubran, D Feldman Advances in Neural Information Processing Systems 32, 2019	70	2019
Data-independent neural pruning via coresets B Mussay, M Osadchy, V Braverman, S Zhou, D Feldman arXiv preprint arXiv:1907.04018, 2019	66	2019
Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks D Feldman, C Xiang, R Zhu, D Rus Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017	64	2017
Introduction to core-sets: an updated survey D Feldman arXiv preprint arXiv:2011.09384, 2020	63	2020

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