Publications
2024
2023
2022
2021
2020
Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case
arXiv:2010.07910, 2020
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
WWW'20
2019
Gilad-Bachrach, Ran; Laine, Kim; Lauter, Kristin E.; Rindal, Peter & Rosulek, Mike
Secure Data Exchange: A Marketplace in the Cloud
{ACM} {SIGSAC} Conference on Cloud Computing Security Workshop (CCSW@CCS), 2019
Brutzkus, Alon; Gilad-Bachrach, Ran & Elisha, Oren
Low Latency Privacy Preserving Inference
36th International Conference on Machine Learning (ICML), 2019
Vainas, Oded; Bar-Ilan, Ori; David, Yossi Ben; Gilad-Bachrach, Ran; Lukin, Galit; Ronen, Meitar; Shillo, Roi & Sitton, Daniel
E-Gotsky: Sequencing Content using the Zone of Proximal Development
arXiv:1904.12268 , 2019
Youngmann, Brit; Gilad-Bachrach, Ran; Karmon, Danny & Yom-Tov, Elad
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
arXiv:1910.12274, 2019
Vainas, Oded; David, Yossi Ben; Gilad-Bachrach, Ran; Ronen, Meitar; Bar-Ilan, Ori; Shillo, Roi; Lukin, Galit & Sitton, Daniel
Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development
12th International Conference on Educational Data Mining (EDM), 2019
2018
Chen, Hao; Gilad-Bachrach, Ran; Han, Kyoohyung; Huang, Zhicong; Jalali, Amir; Laine, Kim & Lauter, Kristin E.
Logistic regression over encrypted data from fully homomorphic encryption
ePrint:462, 2018
Gonem, Alon & Gilad-Bachrach, Ran
Smooth Sensitivity Based Approach for Differentially Private PCA
Algorithmic Learning Theory (ALT), 2018
Brutzkus, Alon; Elisha, Oren & Gilad-Bachrach, Ran
Low Latency Privacy Preserving Inference
arXiv:1812.10659, 2018
Buchsbaum, Stav; Gilad-Bachrach, Ran & Lindell, Yehuda
Turning Lemons into Peaches using Secure Computation
arXiv:1810.02066, 2018
Moore, John; Pfeiffer, Joel; Wei, Kai; Iyer, Rishabh K.; Charles, Denis; Gilad-Bachrach, Ran; Boyles, Levi & Manavoglu, Eren
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
arXiv:1804.06909, 2018
2017
2016
Slovák, Petr; Frauenberger, Christopher; Gilad-Bachrach, Ran; Doces, Mia; Smith, Brian; Kamb, Rachel; Rowan, Kael & Fitzpatrick, Geraldine
Scaffolding the scaffolding: Supporting children\textquestiondowns social-emotional learning at home
19th {ACM} Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), 2016
2015
Rashmi, K. V. & Gilad-Bachrach, Ran
DART: Dropouts meet Multiple Additive Regression Trees
arXiv:1505.01866, 2015
Rashmi, Korlakai Vinayak & Gilad-Bachrach, Ran
DART: Dropouts meet Multiple Additive Regression Trees
8th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015
Slovák, Petr; Gilad-Bachrach, Ran & Fitzpatrick, Geraldine
Designing Social and Emotional Skills Training: The Challenges and Opportunities for Technology Support
33rd Annual {ACM} Conference on Human Factors in Computing Systems (CHI), 2015
2014
2013
Lee, Jason D.; Gilad-Bachrach, Ran & Caruana, Rich
Using multiple samples to learn mixture models
Advances in Neural Information Processing Systems 26 (NIPS), 2013
Lee, Jason D.; Gilad-Bachrach, Ran & Caruana, Rich
Using Multiple Samples to Learn Mixture Models
arXiv:1311.7184, 2013
Gilad-Bachrach, Ran & Burges, Christopher J. C.
The Median Hypothesis
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
Gilad-Bachrach, Ran & Burges, Christopher J. C.
Classifier selection using the predicate depth
The Journal of Machine Learning Research (JMLR) 14.1, 2013
2012
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2011
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