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 SchmidtUniversität zu KölnVerified email at tu-dortmund.de
Guy RosmanToyota Research Institute; Massachusetts General HospitalVerified email at csail.mit.edu
Michael LangbergUniversity at BuffaloVerified email at buffalo.edu
Nir SochenProfessor of Applied Mathematics, Tel-Aviv University, IsraelVerified email at post.tau.ac.il
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 BrainVerified email at google.com
Micha FeiginMassachusetts Institute of TechnologyVerified email at mit.edu
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	539	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	403	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	211	2007
Scalable training of mixture models via coresets D Feldman, M Faulkner, A Krause Advances in neural information processing systems 24, 2011	151	2011
Private coresets D Feldman, A Fiat, H Kaplan, K Nissim Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009	131	2009
New frameworks for offline and streaming coreset constructions V Braverman, D Feldman, H Lang, A Statman, S Zhou arXiv preprint arXiv:1612.00889, 2016	129	2016
The solution for data analysis and presentation graphics D Feldman, J Ganon, R Haffman, J Simpson Abacus Lancripts, Inc., Berkeley, USA, 2003	116	2003
Provable filter pruning for efficient neural networks L Liebenwein, C Baykal, H Lang, D Feldman, D Rus arXiv preprint arXiv:1911.07412, 2019	105	2019
Training gaussian mixture models at scale via coresets M Lucic, M Faulkner, A Krause, D Feldman The Journal of Machine Learning Research 18 (1), 5885-5909, 2017	101	2017
StatView II: the solution for data analysis and presentation graphics DS Feldman Jr, J Gagnon, R Hofmann, J Simpson Abacus Concepts, Berkeley, 1987	101	1987
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	97	2010
StatView 512Ê: The Interactive Statistics & Graphics Package D Feldman, J Gagnon BrainPower, Incorporated, 1988	78	1988
Data reduction for weighted and outlier-resistant clustering D Feldman, LJ Schulman Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	75	2012
Trajectory clustering for motion prediction C Sung, D Feldman, D Rus 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	73	2012
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	71	2018
Statview SE+ graphics D Feldman, J Gagnon, R Hofmann, J Simpson Abacus Concepts, Inc., Berkeley, California, 1988	70	1988
Core-sets: Updated survey D Feldman Sampling techniques for supervised or unsupervised tasks, 23-44, 2020	67	2020
Dimensionality reduction of massive sparse datasets using coresets D Feldman, M Volkov, D Rus Advances in neural information processing systems 29, 2016	64	2016
Fast and accurate least-mean-squares solvers A Maalouf, I Jubran, D Feldman Advances in Neural Information Processing Systems 32, 2019	57	2019
Coresets forweighted facilities and their applications D Feldman, A Fiat, M Sharir 2006 47th annual IEEE symposium on foundations of computer science (FOCS'06 …, 2006	56	2006

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