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
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
Authors
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2015
2014
2013
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2012
Dekel, Ofer; Gilad-Bachrach, Ran; Shamir, Ohad & Xiao, Lin
Optimal Distributed Online Prediction Using Mini-Batches
The Journal of Machine Learning Research (JMLR) 13, 2012
Gabel, Moshe; Schuster, Assaf; Gilad-Bachrach, Ran & Bj{\o}rner, Nikolaj
Latent fault detection in large scale services
{IEEE/IFIP} International Conference on Dependable Systems and Networks (DSN) 2012
Raman, Karthik; Svore, Krysta M.; Gilad-Bachrach, Ran & Burges, Christopher J. C.
Learning from mistakes: towards a correctable learning algorithm
21st {ACM} International Conference on Information and Knowledge Management (CIKM), 2012
Gabel, Moshe; Gilad-Bachrach, Ran; Renshaw, Erin & Schuster, Assaf
Full body gait analysis with Kinect
Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society (EMBC), 2012
Thai, Trang; DeJean, Gerald & Gilad-Bachrach, Ran
Confined intra-arm communication for medical applications
Wireless Health (WH), 2012
2011
Dekel, Ofer; Gilad-Bachrach, Ran; Shamir, Ohad & Xiao, Lin
Optimal Distributed Online Prediction
28th International Conference on Machine Learning (ICML), 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