1997 …2025

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  • 2021

    Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data

    Catav, A., Fu, B., Zoabi, Y., Weiss-Meilik, A., Shomron, N., Ernst, J., Sankararaman, S. & Gilad-Bachrach, R., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 1324-1335 12 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Scopus citations
  • Robust Model Compression Using Deep Hypotheses

    Armstrong, O. & Gilad-Bachrach, R., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 6688-6695 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 8A).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Trees with Attention for Set Prediction Tasks

    Hirsch, R. & Gilad-Bachrach, R., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4250-4261 12 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2020

    The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance

    Youngmann, B., Yom-Tov, E., Gilad-Bachrach, R. & Karmon, D., 20 Apr 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 1366-1377 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2019

    Low latency privacy preserving inference

    Brutzkus, A., Elisha, O. & Gilad-Bachrach, R., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 1295-1304 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    50 Scopus citations
  • Secure data exchange: A marketplace in the cloud

    Gilad-Bachrach, R., Laine, K., Lauter, K., Rindal, P. & Rosulek, M., 11 Nov 2019, CCSW 2019 - Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop. Association for Computing Machinery, p. 117-128 12 p. (Proceedings of the ACM Conference on Computer and Communications Security).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    15 Scopus citations
  • Staying in the zone: Sequencing content in classrooms based on the zone of proximal development

    Vainas, O., Ben-David, Y., Gilad-Bachrach, R., Ronen, M., Bar-Ilan, O., Shillo, R., Lukin, G. & Sitton, D., 2019, EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. Lynch, C. F., Merceron, A., Desmarais, M. & Nkambou, R. (eds.). International Educational Data Mining Society, p. 659-662 4 p. (EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2018

    Smooth Sensitivity Based Approach for Differentially Private PCA.

    Gonem, A. & Gilad-Bachrach, R., 2018, Proceedings of Algorithmic Learning Theory. p. 438-450 (Proceedings of Algorithmic Learning Theory; vol. 83).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2016

    Challenges for designing notifications for affective computing systems

    Czerwinski, M., Gilad-Bachrach, R., Iqbal, S. & Mark, G., 12 Sep 2016, UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, p. 1554-1559 6 p. (UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations
  • Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

    Dowlin, N., Gilad-Bachrach, R., Laine, K., Lauter, K., Naehrig, M. & Wernsing, J., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 342-351 10 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    491 Scopus citations
  • Predicting "about-To-eat" moments for just-in-Time eating intervention

    Rahman, T., Czerwinski, M., Gilad-Bachrach, R. & Johns, P., 11 Apr 2016, DH 2016 - Proceedings of the 2016 Digital Health Conference. Association for Computing Machinery, Inc, p. 141-150 10 p. (DH 2016 - Proceedings of the 2016 Digital Health Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    51 Scopus citations
  • Scaffolding the Scaffolding: Supporting children's social-emotional learning at home

    Slovák, P., Rowan, K., Frauenberger, C., Gilad-Bachrach, R., Doces, M., Smith, B., Kamb, R. & Fitzpatrick, G., 27 Feb 2016, Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery, p. 1751-1765 15 p. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; vol. 27).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    33 Scopus citations
  • 2014

    PopTherapy: Coping with stress through pop-culture

    Paredes, P., Gilad-Bachrach, R., Czerwinski, M., Roseway, A., Rowan, K. & Hernandez, J., 23 Jul 2014, Proceedings - PERVASIVEHEALTH 2014: 8th International Conference on Pervasive Computing Technologies for Healthcare. Boll, S. & Kohler, F. (eds.). ICST, p. 109-117 9 p. (Proceedings - PERVASIVEHEALTH 2014: 8th International Conference on Pervasive Computing Technologies for Healthcare).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    104 Scopus citations
  • Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces

    Bachrach, Y., Finkelstein, Y., Gilad-Bachrach, R., Katzir, L., Koenigstein, N., Nice, N. & Paquet, U., 6 Oct 2014, RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems. Association for Computing Machinery, p. 257-264 8 p. (RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    120 Scopus citations
  • 2012

    Demonstration paper: Confined intra-arm communication for medical applications

    Thai, T., DeJean, G. & Gilad-Bachrach, R., 2012, Proceedings - Wireless Health 2012, WH 2012. 2448114. (Proceedings - Wireless Health 2012, WH 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Full body gait analysis with Kinect

    Gabel, M., Gilad-Bachrach, R., Renshaw, E. & Schuster, A., 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. p. 1964-1967 4 p. 6346340. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    290 Scopus citations
  • Latent Fault Detection in Large Scale Services

    Gabel, M., Schuster, A., Bachrach, R.-G. & Bjorner, N., 2012, Proceedings of the 2012 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). USA: IEEE Computer Society, p. 1–12 6263932. (DSN '12).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Scopus citations
  • Learning from mistakes: Towards a correctable learning algorithm

    Raman, K., Svore, K. M., Gilad-Bachrach, R. & Burges, C. J. C., 2012, CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. p. 1930-1934 5 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2011

    On composition of a federated web search result page: Using online users to provide pairwise preference for heterogeneous verticals

    Kumar Ponnuswami, A., Pattabiraman, K., Wu, Q., Gilad-Bachrach, R. & Kanungo, T., 2011, Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011. p. 715-724 10 p. (Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    45 Scopus citations
  • Optimal distributed online prediction

    Dekel, O., Gilad-Bachrach, R., Shamir, O. & Xiao, L., 2011, Proceedings of the 28th International Conference on Machine Learning, ICML 2011. p. 713-720 8 p. (Proceedings of the 28th International Conference on Machine Learning, ICML 2011).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    40 Scopus citations
  • 2009

    Efficient human computation: The distributed labeling problem

    Gilad-Bachrach, R., Bar-Hillel, A. & Ein-Dor, L., 2009, Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09. p. 70-76 7 p. 1600174. (Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2007

    Workstation capacity tuning using reinforcement learning

    Bar-Hillel, A., Di-Nur, A., Ein-Dor, L., Gilad-Bachrach, R. & Ittach, Y., 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07. 32. (Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations
  • 2006

    Is feature selection still necessary?

    Navot, A., Gilad-Bachrach, R., Navot, Y. & Tishby, N., 2006, Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers. p. 127-138 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3940 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Scopus citations
  • 2005

    Query by Committee made real

    Gilad-Bachrach, R., Navot, A. & Tishby, N., 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 443-450 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    79 Scopus citations
  • 2004

    Margin based feature selection - Theory and algorithms

    Gilad-Bachrach, R., Navot, A. & Tishby, N., 2004, Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004. Greiner, R. & Schuurmans, D. (eds.). p. 337-344 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    253 Scopus citations
  • 2003

    Margin analysis of the LVQ algorithm

    Crammer, K., Gilad-Bachrach, R., Navot, A. & Tishby, N., 2003, Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    77 Scopus citations
  • 2002

    Margin Analysis of the LVQ Algorithm

    Crammer, K., Gilad-Bachrach, R., Navot, A. & Tishby, N., 2002, NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. Becker, S., Thrun, S. & Obermayer, K. (eds.). MIT Press, p. 462-469 8 p. (NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    104 Scopus citations
  • 1999

    Query by Committee, Linear Separation and Random Walks

    Bachrach, R., Fine, S. & Shamir, E., 1999, Computational Learning Theory. Fischer, P. & Simon, H. U. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 34-49 16 p. (Lecture Notes in Computer Science (LNCS), Lecture Notes in Artificial Intelligence (LNAI); vol. 1572).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 1997

    Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence

    Bachrach, R. & El-Yaniv, R., 1997, Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. USA: Society for Industrial and Applied Mathematics (SIAM), p. 53–62 (SODA '97).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Scopus citations