Publications
2021
Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
Sensors
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Graph Trees with Attention
arXiv:2207.02760
Nimrod Harel, Ran Gilad-Bachrach, Uri Obolski
Inherent Inconsistencies of Feature Importance
arXiv:2206.08204
Pierre Laforgue, Giulia Clerici, Nicol`o Cesa-Bianchi, Ran Gilad-Bachrach
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
The 25th International Conference on
Artificial Intelligence and Statistics (AIStats)
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman, Marijan Beg, Lee Stott, Nir Levy and Ran Gilad-Bachrach
PyBryt: auto-assessment and auto-grading for computational thinking
arXiv:2112.02144, 2021
Roy Hirsch, Ran Gilad-Bachrach
Trees with Attention for Set Prediction Tasks
International Conference on Machine Learning, 4250-4261
Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Libi Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance-an Axiomatic Approach for Explaining Data
International Conference on Machine Learning, 1324-1335
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance
Information Retrieval Journal 24 (3), 205-239
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data
Journal of Medical Internet Research 23 (5), e27084
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
The First Predictor of Impending Stroke: An Internet Search-Based Algorithm Blind to Established Cardiometabolic Risk, Outperforms Classical Risk Factor-Based Calculators
Journal of the Endocrine Society 5 (Supplement_1), A299-A300
Omri Armstrong, Ran Gilad-Bachrach
Robust Model Compression Using Deep Hypotheses
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 8.
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
2022
Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Graph Trees with Attention
Nimrod Harel, Ran Gilad-Bachrach, Uri Obolski
Inherent Inconsistencies of Feature Importance
Pierre Laforgue, Giulia Clerici, Nicol`o Cesa-Bianchi, Ran Gilad-Bachrach
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman, Marijan Beg, Lee Stott, Nir Levy and Ran Gilad-Bachrach
PyBryt: auto-assessment and auto-grading for computational thinking
Roy Hirsch, Ran Gilad-Bachrach
Trees with Attention for Set Prediction Tasks
Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Libi Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance-an Axiomatic Approach for Explaining Data
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
The First Predictor of Impending Stroke: An Internet Search-Based Algorithm Blind to Established Cardiometabolic Risk, Outperforms Classical Risk Factor-Based Calculators
Omri Armstrong, Ran Gilad-Bachrach
Robust Model Compression Using Deep Hypotheses
Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case
2020
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
Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
Sensors
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Graph Trees with Attention
arXiv:2207.02760
Nimrod Harel, Ran Gilad-Bachrach, Uri Obolski
Inherent Inconsistencies of Feature Importance
arXiv:2206.08204
Pierre Laforgue, Giulia Clerici, Nicol`o Cesa-Bianchi, Ran Gilad-Bachrach
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
The 25th International Conference on
Artificial Intelligence and Statistics (AIStats)
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman, Marijan Beg, Lee Stott, Nir Levy and Ran Gilad-Bachrach
PyBryt: auto-assessment and auto-grading for computational thinking
arXiv:2112.02144, 2021
Roy Hirsch, Ran Gilad-Bachrach
Trees with Attention for Set Prediction Tasks
International Conference on Machine Learning, 4250-4261
Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Libi Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance-an Axiomatic Approach for Explaining Data
International Conference on Machine Learning, 1324-1335
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance
Information Retrieval Journal 24 (3), 205-239
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data
Journal of Medical Internet Research 23 (5), e27084
Sigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, Naftali Stern
The First Predictor of Impending Stroke: An Internet Search-Based Algorithm Blind to Established Cardiometabolic Risk, Outperforms Classical Risk Factor-Based Calculators
Journal of the Endocrine Society 5 (Supplement_1), A299-A300
Omri Armstrong, Ran Gilad-Bachrach
Robust Model Compression Using Deep Hypotheses
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 8.
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
2016
Gilad-Bachrach, Ran; Laine, Kim; Lauter, Kristin E.; Rindal, Peter & Rosulek, Mike
Secure Data Exchange: A Marketplace in the Cloud
ePrint:620, 2016
Gilad-Bachrach, Ran; Dowlin, Nathan; Laine, Kim; Lauter, Kristin E.; Naehrig, Michael & Wernsing, John
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
33nd International Conference on Machine Learning (ICML), 2016
Rahman, Tauhidur; Czerwinski, Mary; Gilad-Bachrach, Ran & Johns, Paul
Predicting About-to-Eat" Moments for Just-in-Time Eating Intervention"
6th International Conference on Digital Health Conference (DH), 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
Czerwinski, Mary; Gilad-Bachrach, Ran; Iqbal, Shamsi T. & Mark, Gloria
Challenges for designing notifications for affective computing systems
{ACM} International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016
2015
Authors
Data (fault)
Book Title
Authors
Data (fault)
Book Title
2014
Bachrach, Yoram; Finkelstein, Yehuda; Gilad-Bachrach, Ran; Katzir, Liran; Koenigstein, Noam; Nice, Nir & Paquet, Ulrich
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces
Eighth {ACM} Conference on Recommender Systems (RecSys), 2014
Xie, Pengtao; Bilenko, Misha; Finley, Tom; Gilad-Bachrach, Ran; Lauter, Kristin E. & Naehrig, Michael
Crypto-Nets: Neural Networks over Encrypted Data
arXiv:1412.6181, 2014
Paredes, Pablo; Gilad-Bachrach, Ran; Czerwinski, Mary; Roseway, Asta; Rowan, Kael & Hernandez, Javier
PopTherapy: coping with stress through pop-culture
International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2014
2013
2012
2011
Ponnuswami, Ashok Kumar; Pattabiraman, Kumaresh; Wu, Qiang; Gilad-Bachrach, Ran & Kanungo, Tapas
On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals
4th International Conference on Web Search and Web Data Mining (WSDM), 2011