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  • 2021

    A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering

    Hess, T., Moshkovitz, M. & Sabato, S., 1 Jan 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3298-3308 11 p. (Advances in Neural Information Processing Systems; vol. 5).

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

  • Active Feature Selection for the Mutual Information Criterion

    Schnapp, S. & Sabato, S., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, Vol. 35(11). p. 9497-9504 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 11A).

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

  • Approximating a Distribution Using Weight Queries

    Barak, N. & Sabato, S., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). Vol. 139. p. 674-683 10 p.

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

  • 2020

    Bounding the fairness and accuracy of classifiers from population statistics

    Sabato, S. & Yom-Tov, E., 1 Jan 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 8286-8295 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).

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

    1 Scopus citations
  • Robust Learning from Discriminative Feature Feedback

    Dasgupta, S. & Sabato, S., 2020, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). PMLR, Vol. 108. p. 973-982 (Proceedings of Machine Learning Research).

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

  • Sequential no-substitution k-median-clustering

    Hess, T. & Sabato, S., 2020, The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) : Proceedings of Machine Learning Research. Vol. 108. p. 962-972 11 p.

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

  • Universal Bayes Consistency in Metric Spaces

    Hanneke, S., Kontorovich, A., Sabato, S. & Weiss, R., 2 Feb 2020, 2020 Information Theory and Applications Workshop, ITA 2020. Institute of Electrical and Electronics Engineers Inc., 9244988

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    A walkthrough for the principle of logit separation

    Keren, G., Sabato, S. & Schuller, B., 1 Jan 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6191-6195 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

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

    Open Access
  • Epsilon Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits

    Sabato, S., 2019, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vol. 32. p. 2876-2886

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

    1 Scopus citations
  • Temporal anomaly detection: Calibrating the surprise

    Gutflaish, E., Kontorovich, A., Sabato, S., Biller, O. & Sofer, O., 1 Jan 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 3755-3762 8 p.

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

    1 Scopus citations
  • 2018

    Fast Single-Class Classification and the Principle of Logit Separation

    Keren, G., Sabato, S. & Schuller, B., 27 Dec 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 227-236 10 p. 8594847. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

    8 Scopus citations
  • Learning from discriminative feature feedback

    Dasgupta, S., Dey, A., Roberts, N. & Sabato, S., 2018, Advances in Neural Information Processing Systems. p. 3955-3963 9 p.

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

    1 Scopus citations
  • 2017

    Nearest-Neighbor sample compression: Efficiency, consistency, infinite dimensions

    Kontorovich, A., Sabato, S. & Weiss, R., 1 Jan 2017, Advances in Neural Information Processing Systems. Vol. 2017. p. 1574-1584 11 p.

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

    9 Scopus citations
  • Tunable sensitivity to large errors in neural network training

    Keren, G., Sabato, S. & Schuller, B., 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). p. 2087-2093 7 p.

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

    4 Scopus citations
  • 2016

    Active nearest-neighbor learning in metric spaces

    Kontorovich, A., Sabato, S. & Urner, R., 1 Jan 2016, Advances in Neural Information Processing Systems. p. 856-864 9 p.

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

    9 Scopus citations
  • Interactive algorithms: from pool to stream

    Sabato, S. & Hess, T., 2016, Proceedings of the 29th Annual Conference on Learning Theory (COLT), 2016, JMLR Workshop and Conference Proceedings. Vol. 49. p. 1419-1439 21 p.

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

    10 Scopus citations
  • Submodular learning and covering with response-dependent costs

    Sabato, S., 1 Jan 2016, Algorithmic Learning Theory - 27th International Conference, ALT 2016, Proceedings. Simon, H. U., Zilles, S. & Ortner, R. (eds.). Springer Verlag, p. 130-144 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9925 LNAI).

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

  • 2014

    Active regression by stratification

    Sabato, S. & Munos, R., 2014, Advances in Neural Information Processing Systems 27 (NIPS 2014). January ed. Vol. 1. p. 469-477 9 p.

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

    17 Scopus citations
  • Heavy-tailed regression with a generalized median-of-means

    Hsu, D. & Sabato, S., 1 Jan 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 1196-1204 9 p.

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

    9 Scopus citations
  • 2013

    Auditing: Active learning with outcome-dependent query costs

    Sabato, S., Sarwate, A. D. & Srebro, N., 1 Jan 2013, Advances in Neural Information Processing Systems. p. 512-520

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

    6 Scopus citations
  • Clustering Oligarchies

    Ackerman, M., Ben-David, S., Loker, D. & Sabato, S., 2013, Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013. JMLR.org, Vol. 31. p. 66-74 9 p. (JMLR Workshop and Conference Proceedings).

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

    10 Scopus citations
  • Efficient active learning of halfspaces: An aggressive approach

    Gonen, A., Sabato, S. & Shalev-Shwartz, S., 1 Jan 2013, Proceedings of the 30th International Conference on Machine Learning (ICML), JMLR Workshop and Conference Proceedings . Vol. 28(1). p. 480-488 9 p.

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

    3 Scopus citations
  • Feature Multi-Selection among Subjective Features

    Sabato, S. & Kalai, A., 2013, Proceedings of the 30th International Conference on Machine Learning (ICML), JMLR Workshop and Conference Proceedings . Vol. 28(3). p. 810-818

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

    1 Scopus citations
  • 2012

    Multiclass learning approaches: A theoretical comparison with implications

    Daniely, A., Sabato, S. & Shalev-Shwartz, S., 1 Dec 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 485-493 9 p.

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

    19 Scopus citations
  • 2011

    Multiclass Learnability and the ERM Principle

    Daniely, A., Sabato, S., Ben-David, S. & Shalev-Shwartz, S., 2011, Proceedings of the 24nd Annual Conference on Learning Theory (COLT), JMLR Workshop and Conference Proceedings . Kakade, S. M. & von Luxburg, U. (eds.). PMLR, p. 207-232 26 p. (Proceedings of Machine Learning Research; vol. 19).

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

    18 Scopus citations
  • 2010

    Reducing label complexity by learning from bags

    Sabato, S., Srebro, N. & Tishby, N., 2010, Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 9. p. 685-692 8 p. (Journal of Machine Learning Research).

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

    3 Scopus citations
  • Tight sample complexity of large-margin learning

    Sabato, S., Srebro, N. & Tishby, N., 1 Dec 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010.

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

    6 Scopus citations
  • 2009

    Homogeneous multi-instance learning with arbitrary dependence

    Sabato, S. & Tishby, N., 2009, Proceedings of the 22nd Annual Conference on Learning Theory (COLT).

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

    7 Scopus citations
  • 2008

    Learning and generalization with the information bottleneck

    Shamir, O., Sabato, S. & Tishby, N., 1 Dec 2008, , Proceedings of the 19th international conference on Algorithmic Learning Theory (ALT). p. 92-107 16 p.

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

    8 Scopus citations
  • 2007

    Analyzing system logs: A new view of what's important

    Sabato, S., Yom-Tov, E., Tsherniak, A. & Rosset, S., 2007, 2nd USENIX workshop on Tackling Computer Systems Problems with Machine Learning Techniques.

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

    19 Scopus citations
  • Melody-Expert-Free System Analysis

    Sabato, S., Yom-Tov, E. & Rodeh, O., 2007, Workshop on Statistical Learning Techniques for Solving Systems Problems at NIPS.

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

  • Prediction by categorical features: Generalization properties and application to feature ranking

    Sabato, S. & Shalev-Shwartz, S., 1 Jan 2007, Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, Proceedings. Springer Verlag, p. 559-573 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4539 LNAI).

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

    1 Scopus citations
  • Preprocessing expression-based constraint satisfaction problems for stochastic local search

    Sabato, S. & Naveh, Y., 1 Jan 2007, Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems - 4th International Conference, CPAIOR 2007, Proceedings. Springer Verlag, p. 244-259 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4510 LNCS).

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

    2 Scopus citations
  • 2005

    Against partitioned readings of reciprocals

    Sabato, S. & Winter, Y., 1 Dec 2005, Proceedings of the 15th Amsterdam Colloquium. p. 209-213 5 p. (Proceedings of the 15th Amsterdam Colloquium).

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

    1 Scopus citations
  • From semantic restrictions to reciprocal meanings

    Sabato, S. & Winter, Y., 2005, Proceedings of FG-MoL 2005: The 10th conference on Formal Grammar and The 9th Meeting on Mathematics of Language. p. 13-26

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