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Daniel Kane
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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
5212019
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
3972010
Sparser johnson-lindenstrauss transforms
DM Kane, J Nelson
Journal of the ACM (JACM) 61 (1), 1-23, 2014
3932014
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
3262019
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
2682017
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
2542017
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
1922010
Recent advances in algorithmic high-dimensional robust statistics
I Diakonikolas, DM Kane
arXiv preprint arXiv:1911.05911, 2019
1732019
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
1692016
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
1592018
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
1452018
Testing identity of structured distributions
I Diakonikolas, DM Kane, V Nikishkin
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014
1082014
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
1072015
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
1042010
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
1032011
Counting arbitrary subgraphs in data streams
DM Kane, K Mehlhorn, T Sauerwald, H Sun
Automata, Languages, and Programming: 39th International Colloquium, ICALP …, 2012
972012
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
912005
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
902013
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
852009
Testing bayesian networks
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 370-448, 2017
822017
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