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  • 2021

    Early-stopped neural networks are consistent

    Ji, Z., Li, J. D. & Telgarsky, 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. 1805-1817 13 p. (Advances in Neural Information Processing Systems; vol. 3).

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

  • Fast Margin Maximization via Dual Acceleration

    Ji, Z., Srebro, N. & Telgarsky, M., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4860-4869 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

  • 2019

    A gradual, semi-discrete approach to generative network training via explicit wasserstein minimization

    Chen, Y., Telgarsky, M., Zhang, C., Bailey, B., Hsu, D. & Peng, J., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 1845-1858 14 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

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

  • 2018

    Social welfare and profit maximization from revealed preferences

    Ji, Z., Mehta, R. & Telgarsky, M., 2018, Web and Internet Economics - 14th International Conference, WINE 2018, Proceedings. Harks, T. & Christodoulou, G. (eds.). Springer, p. 264-281 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11316 LNCS).

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

    Open Access
  • 2017

    Neural networks and rational functions

    Telgarsky, M., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 5195-5210 16 p. (34th International Conference on Machine Learning, ICML 2017; vol. 7).

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

  • 2015

    Tensor decompositions for learning latent variable models (A survey for ALT)

    Anandkumar, A., Ge, R., Hsu, D., Kakade, S. M. & Telgarsky, M., 2015, Algorithmic Learning Theory - 26th International Conference, ALT 2015. Gentile, C., Zilles, S. & Chaudhuri, K. (eds.). Springer, p. 19-38 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9355).

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

  • 2012

    Agglomerative Bregman clustering

    Telgarsky, M. & Dasgupta, S., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 1527-1534 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 2).

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

  • 2011

    The fast convergence of boosting

    Telgarsky, M., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

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

  • 2007

    Signal decomposition using multiscale admixture models

    Telgarsky, M. & Lafferty, J., 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. p. II449-II452 4217442. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2).

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