Daniel Kane

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Ilias DiakonikolasUniversity of Wisconsin-MadisonVerified email at wisc.edu
Alistair StewartWeb3 foundationVerified email at web3.foundation
Jelani NelsonProfessor, EECS, University of California, BerkeleyVerified email at berkeley.edu
Jerry LiMicrosoft ResearchVerified email at microsoft.com
Gautam KamathAssistant Professor, University of WaterlooVerified email at uwaterloo.ca
Shachar LovettAssociate Professor of Computer Science, University of California San DiegoVerified email at eng.ucsd.edu
Ankur MoitraNorbert Wiener Professor of Mathematics, MITVerified email at mit.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shay MoranDepartment of Mathematics, Department of Computer Science, TechnionVerified email at google.com
Eric PriceAssistant Professor of Computer Science at the University of Texas at AustinVerified email at cs.utexas.edu
Erik DemaineProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Vladimir NikishkinLaboratory for Foundations of Computer Science, School of Informatics, University of Edinburgh Verified email at sms.ed.ac.uk
Mihir BellareProfessor, Department of Computer Science and Engineering, University of California San Diego (UCSD)Verified email at eng.ucsd.edu
Richard Ryan WilliamsMITVerified email at mit.edu
Scott Duke KominersMBA Class of 1960 Associate Professor, Harvard Business School & Department of Economics, HarvardVerified email at fas.harvard.edu
Parikshit GopalanAppleVerified email at apple.com
He SunReader in Algorithms & Complexity, University of EdinburghVerified email at ed.ac.uk
John IaconoUniversité Libre de BruxellesVerified email at ulb.ac.be
Mihai PatrascuAT&T LabsVerified email at alum.mit.edu
Adam KlivansProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu

Daniel Kane

University of California, San Diego

Verified email at ucsd.edu - Homepage

Algorithms Complexity Number Theory Combinatorics Probability


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Robust estimators in high-dimensions without the computational intractability I Diakonikolas, G Kamath, D Kane, J Li, A Moitra, A Stewart SIAM Journal on Computing 48 (2), 742-864, 2019	396	2019
An optimal algorithm for the distinct elements problem DM Kane, J Nelson, DP Woodruff Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on …, 2010	356	2010
Sparser johnson-lindenstrauss transforms DM Kane, J Nelson Journal of the ACM (JACM) 61 (1), 1-23, 2014	335	2014
Sever: A robust meta-algorithm for stochastic optimization I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart International Conference on Machine Learning, 1596-1606, 2019	234	2019
Being robust (in high dimensions) can be practical I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart International Conference on Machine Learning, 999-1008, 2017	209	2017
Statistical query lower bounds for robust estimation of high-dimensional gaussians and gaussian mixtures I Diakonikolas, DM Kane, A Stewart 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), 73-84, 2017	185	2017
On the exact space complexity of sketching and streaming small norms DM Kane, J Nelson, DP Woodruff Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010	168	2010
A new approach for testing properties of discrete distributions I Diakonikolas, DM Kane 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016	136	2016
Recent advances in algorithmic high-dimensional robust statistics I Diakonikolas, DM Kane arXiv preprint arXiv:1911.05911, 2019	123	2019
List-decodable robust mean estimation and learning mixtures of spherical gaussians I Diakonikolas, DM Kane, A Stewart Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018	123	2018
Robustly learning a gaussian: Getting optimal error, efficiently I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018	118	2018
Bounded independence fools degree-2 threshold functions I Diakonikolas, DM Kane, J Nelson 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 11-20, 2010	100	2010
Testing identity of structured distributions I Diakonikolas, DM Kane, V Nikishkin Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014	96	2014
Fast moment estimation in data streams in optimal space DM Kane, J Nelson, E Porat, DP Woodruff Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011	93	2011
Counting arbitrary subgraphs in data streams DM Kane, K Mehlhorn, T Sauerwald, H Sun Automata, Languages, and Programming: 39th International Colloquium, ICALP …, 2012	89	2012
On the complexity of two-player win-lose games T Abbott, D Kane, P Valiant 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 113-122, 2005	87	2005
Mass-surveillance without the state: Strongly undetectable algorithm-substitution attacks M Bellare, J Jaeger, D Kane Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015	82	2015
The geometry of binary search trees ED Demaine, D Harmon, J Iacono, D Kane, M Patraşcu Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009	73	2009
vqsgd: Vector quantized stochastic gradient descent V Gandikota, D Kane, RK Maity, A Mazumdar International Conference on Artificial Intelligence and Statistics, 2197-2205, 2021	72	2021
Modeling the distribution of ranks, Selmer groups, and Shafarevich-Tate groups of elliptic curves M Bhargava, DM Kane, B Poonen, E Rains arXiv preprint arXiv:1304.3971, 2013	72	2013

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