Ran Gilad-Bachrach

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Kristin E. LauterWest Coast Director of Research Science, Facebook AI ResearchVerified email at fb.com
Kim LainePrincipal Researcher, MicrosoftVerified email at microsoft.com
Michael NaehrigPrincipal Researcher, Microsoft Research, USAVerified email at cryptojedi.org
Amir NavotPrincipal Research Scientist at Amazon Prime AirVerified email at amazon.com
Nathan DowlinNSF Postdoc in Mathematics, Columbia UniversityVerified email at math.columbia.edu
Assaf SchusterProfessor of Computer Science, TechnionVerified email at cs.technion.ac.il
Mary CzerwinskiMicrosoft ResearchVerified email at microsoft.com
Lin XiaoFacebook AI ResearchVerified email at fb.com
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Mikhail BilenkoMicrosoftVerified email at microsoft.com
Shai FineHead of the Data Science Institute, IDCVerified email at idc.ac.il
Liran KatzirGoogle ResearchVerified email at cs.technion.ac.il
Noam KoenigsteinTel-Aviv UniversityVerified email at tauex.tau.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Nikolaj BjornerMicrosoft ResearchVerified email at cs.stanford.edu
Pengtao XieAssistant Professor, UC San DiegoVerified email at eng.ucsd.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Zhicong HuangAlibaba GroupVerified email at alibaba-inc.com
Asta RosewayFusionist, Microsoft ResearchVerified email at microsoft.com

Ran Gilad-Bachrach

Tel-Aviv University

Verified email at tauex.tau.ac.il - Homepage

Machine Learning Private AI Behavioral changes Social emotional learning Machine Teaching


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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy R Gilad-Bachrach, N Dowlin, K Laine, K Lauter, M Naehrig, J Wernsing International conference on machine learning, 201-210, 2016	1023	2016
Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012	563	2012
Margin based feature selection-theory and algorithms R Gilad-Bachrach, A Navot, N Tishby Proceedings of the twenty-first international conference on Machine learning, 43, 2004	513	2004
Full body gait analysis with Kinect M Gabel, R Gilad-Bachrach, E Renshaw, A Schuster 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012	399	2012
Margin analysis of the LVQ algorithm K Crammer, R Gilad-Bachrach, A Navot, N Tishby NIPS 2, 462-469, 2002	283	2002
Crypto-nets: Neural networks over encrypted data P Xie, M Bilenko, T Finley, R Gilad-Bachrach, K Lauter, M Naehrig arXiv preprint arXiv:1412.6181, 2014	128	2014
Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces Y Bachrach, Y Finkelstein, R Gilad-Bachrach, L Katzir, N Koenigstein, ... Proceedings of the 8th ACM Conference on Recommender systems, 257-264, 2014	126	2014
Dart: Dropouts meet multiple additive regression trees RK Vinayak, R Gilad-Bachrach Artificial Intelligence and Statistics, 489-497, 2015	120	2015
Dart: Dropouts meet multiple additive regression trees RK Vinayak, R Gilad-Bachrach Artificial Intelligence and Statistics, 489-497, 2015	120	2015
Query by committee made real R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems, 443-450, 2006	111	2006
Manual for using homomorphic encryption for bioinformatics N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing Proceedings of the IEEE 105 (3), 552-567, 2017	93	2017
An information theoretic tradeoff between complexity and accuracy R Gilad-Bachrach, A Navot, N Tishby Learning Theory and Kernel Machines, 595-609, 2003	89	2003
PopTherapy: Coping with stress through pop-culture P Paredes, R Gilad-Bachrach, M Czerwinski, A Roseway, K Rowan, ... Proceedings of the 8th International Conference on Pervasive Computing …, 2014	83	2014
Low latency privacy preserving inference A Brutzkus, R Gilad-Bachrach, O Elisha International Conference on Machine Learning, 812-821, 2019	72	2019
Optimal distributed online prediction O Dekel, R Gilad-Bachrach, O Shamir, L Xiao ICML, 2011	65	2011
Logistic regression over encrypted data from fully homomorphic encryption H Chen, R Gilad-Bachrach, K Han, Z Huang, A Jalali, K Laine, K Lauter BMC medical genomics 11 (4), 3-12, 2018	62	2018
Private collaborative neural network learning M Chase, R Gilad-Bachrach, K Laine, K Lauter, P Rindal Cryptology ePrint Archive, 2017	57	2017
Manual for using homomorphic encryption for bioinformatics N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing	55	2015
On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals AK Ponnuswami, K Pattabiraman, Q Wu, R Gilad-Bachrach, T Kanungo Proceedings of the fourth ACM international conference on Web search and …, 2011	54	2011
On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals AK Ponnuswami, K Pattabiraman, Q Wu, R Gilad-Bachrach, T Kanungo Proceedings of the fourth ACM international conference on Web search and …, 2011	54	2011

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