Calculated based on number of publications stored in Pure and citations from Scopus
20112024

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  • 2023

    An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network.

    Daniely, A. & Granot, E., 2023, 11th International Conference on Learning Representations, ICLR 2023. OpenReview

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

    Open Access
  • 2022

    Monotone Learning.

    Bousquet, O., Daniely, A., Kaplan, H., Mansour, Y., Moran, S. & Stemmer, U., 2022, COLT 2022. PMLR, p. 842-866 25 p. (Proceedings of Machine Learning Research; vol. 178).

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

  • 2021

    Asynchronous Stochastic Optimization Robust to Arbitrary Delays

    Cohen, A., Daniely, A., Drori, Y., Koren, T. & Schain, M., 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. 9024-9035 12 p. (Advances in Neural Information Processing Systems; vol. 11).

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

    11 Scopus citations
  • 2017

    Depth Separation for Neural Networks.

    Daniely, A., 2017, COLT 2017. PMLR, p. 690-696 7 p. (Proceedings of Machine Learning Research; vol. 65).

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

  • 2016

    Complexity theoretic limitations on learning halfspaces

    Daniely, A., 19 Jun 2016, STOC 2016 - Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing. Mansour, Y. & Wichs, D. (eds.). Association for Computing Machinery, p. 105-117 13 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. 19-21-June-2016).

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

    Open Access
    70 Scopus citations
  • 2015

    Inapproximability of truthful mechanisms via generalizations of the VC dimension

    Daniely, A., Schapira, M. & Shahaf, G., 14 Jun 2015, STOC 2015 - Proceedings of the 2015 ACM Symposium on Theory of Computing. Association for Computing Machinery, p. 401-408 8 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. 14-17-June-2015).

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

    Open Access
    22 Scopus citations
  • Strongly adaptive online learning

    Daniely, A., Gonen, A. & Shalev-Shwartz, S., 2015, 32nd International Conference on Machine Learning, ICML 2015. Blei, D. & Bach, F. (eds.). International Machine Learning Society (IMLS), p. 1405-1411 7 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 2).

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

    103 Scopus citations
  • 2014

    From average case complexity to improper learning complexity

    Daniely, A., Linial, N. & Shalev-Shwartz, S., 2014, STOC 2014 - Proceedings of the 2014 ACM Symposium on Theory of Computing. Association for Computing Machinery, p. 441-448 8 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).

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

    Open Access
    65 Scopus citations
  • 2013

    On the practically interesting instances of MAXCUT

    Bilu, Y., Daniely, A., Linial, N. & Saks, M., 2013, 30th International Symposium on Theoretical Aspects of Computer Science, STACS 2013. p. 526-537 12 p. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 20).

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

    17 Scopus citations
  • 2012

    Multiclass learning approaches: A theoretical comparison with implications

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

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

    22 Scopus citations
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