20082022

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  • 2021

    Dynamic graph convolutional networks using the tensor m-product

    Malik, O. A., Ubaru, S., Horesh, L., Kilmer, M. E. & Avron, H., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 729-737 9 p. (SIAM International Conference on Data Mining, SDM 2021).

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

  • Scaling Neural Tangent Kernels via Sketching and Random Features

    Zandieh, A., Han, I., Avron, H., Shoham, N., Kim, C. & Shin, J., 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. 1062-1073 12 p. (Advances in Neural Information Processing Systems; vol. 2).

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

  • Solving sparse linear systems with approximate inverse preconditioners on analog devices

    Kalantzis, V., Gupta, A., Horesh, L., Nowicki, T., Squillante, M. S., Wah Wu, C., Gokmen, T. & Avron, H., 2021, 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE High Performance Extreme Computing Conference, HPEC 2021).

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

  • 2020

    Polynomial tensor sketch for element-wise function of low-rank matrix

    Han, I., Avron, H. & Shin, J., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 3942-3951 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-6).

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

  • 2019

    A universal sampling method for reconstructing signals with simple Fourier transforms

    Avron, H., Kapralov, M., Musco, C., Musco, C., Velingker, A. & Zandieh, A., 23 Jun 2019, STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Charikar, M. & Cohen, E. (eds.). Association for Computing Machinery, p. 1051-1063 13 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).

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

  • 2017

    Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees

    Avron, H., Kapralov, M., Musco, C., Musco, C., Velingker, A. & Zandieh, A., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 370-404 35 p. (34th International Conference on Machine Learning, ICML 2017; vol. 1).

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

  • Sharper bounds for regularized data fitting

    Avron, H., Clarkson, K. L. & Woodruff, D. P., 1 Aug 2017, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques - 20th International Workshop, APPROX 2017 and 21st International Workshop, RANDOM 2017. Rolim, J. D. P., Jansen, K., Williamson, D. P. & Vempala, S. S. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 27. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 81).

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

  • 2015

    A scalable randomized least squares solver for dense overdetermined systems

    Iyer, C., Avron, H., Kollias, G., Ineichen, Y., Carothers, C. & Drineas, P., 15 Nov 2015, Proceedings of ScalA 2015: 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis. Association for Computing Machinery, Inc, 3. (Proceedings of ScalA 2015: 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis).

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

  • Community detection using time-dependent personalized PageRank

    Avron, H. & Horesh, L., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 1795-1803 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

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

  • 2014

    Kernel methods match deep neural networks on TIMIT

    Huang, P. S., Avron, H., Sainath, T. N., Sindhwani, V. & Ramabhadran, B., 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 205-209 5 p. 6853587. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

  • Quasi-Monte Carlo feature maps for shift-invariant kernels

    Yang, J., Sindhwani, V., Avron, H. & Mahoney, M. W., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 740-755 16 p. (31st International Conference on Machine Learning, ICML 2014; vol. 1).

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

  • Random laplace feature maps for semigroup kernels on histograms

    Yang, J., Sindhwani, V., Fan, Q., Avron, H. & Mahoney, M., 24 Sep 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 971-978 8 p. 6909524. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  • Revisiting asynchronous linear solvers: Provable convergence rate through randomization

    Avron, H., Druinsky, A. & Gupta, A., 2014, Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium, IPDPS 2014. IEEE Computer Society, p. 198-207 10 p. 6877255. (Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS).

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

  • 2012

    Efficient and practical stochastic subgradient descent for nuclear norm regularization

    Avron, H., Kale, S., Kasiviswanathan, S. P. & Sindhwani, V., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 1231-1238 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 2).

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

  • Managing data-movement for effective shared-memory parallelization of out-of-core sparse solvers

    Avron, H. & Gupta, A., 2012, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2012. 6468501. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

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

  • 2009

    PFunc: Modern task parallelism for modern high performance computing

    Kambadur, P., Gupta, A., Ghoting, A., Avron, H. & Lumsdaine, A., 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09. 1654103. (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09).

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