Publications
2021
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
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
Bachrach, Ran; Fine, Shai & Shamir, Eli
Query by Committee, Linear Separation and Random Walks
4th European Conference on Computational Learning Theory (EuroCOLT) 1999
Bachrach, Ran & El-Yaniv, Ran
Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence
8th Annual {ACM-SIAM} Symposium on Discrete Algorithms (SODA), 1997
2022
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
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
Bachrach, Ran; Fine, Shai & Shamir, Eli
Query by Committee, Linear Separation and Random Walks
Bachrach, Ran & El-Yaniv, Ran
Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence
2020
2019
2018
2017
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
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
Bachrach, Ran; Fine, Shai & Shamir, Eli
Query by Committee, Linear Separation and Random Walks
4th European Conference on Computational Learning Theory (EuroCOLT) 1999
Bachrach, Ran & El-Yaniv, Ran
Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence
8th Annual {ACM-SIAM} Symposium on Discrete Algorithms (SODA), 1997
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
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