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Within the framework of statistical learning theory it is possible to bound the minimum number of samples required by a learner to reach a target accuracy.
N.-H. Chia, T. Li, H.-H. Lin, and C. Wang, arXiv preprint arXiv:1901.03254 (2019a)
1901
Earlier work this paper cites.
1910
Earlier work this paper cites.
A. Blumer, A. Ehrenfeucht, D. Haussler, and M. K. Warmuth, Journal of the ACM (JACM) 36
1989
Earlier work this paper cites.
V. N. Vapnik and V. Vapnik, Statistical learning theory , Vol. 1 (Wiley New York, 1998)
1998
Earlier work this paper cites.
A. J. Smola and B. Schölkopf (Morgan Kaufmann, 2000) pp. 911–918
2000
Earlier work this paper cites.
C. K. Williams and M. Seeger, in Advances in neural information processing systems (2001) pp. 682–688
2001
Earlier work this paper cites.
F. Cucker and S. Smale, Bulletin of the American mathematical society 39
2002
Earlier work this paper cites.
J. Shawe-Taylor, N. Cristianini, et al. , Kernel methods for pattern analysis (Cambridge university press, 2004)
2004
Earlier work this paper cites.
V. Giovannetti, S. Lloyd, and L. Maccone, Science 306
2004
Earlier work this paper cites.
C. M. Bishop, Pattern recognition and machine learning (springer, 2006)
2006
Earlier work this paper cites.
C. Rasmussen and C. Williams, Gaussian Processes for Machine Learning (2006)
2006
Earlier work this paper cites.
V. Giovannetti, S. Lloyd, and L. Maccone, Physical review letters 96
2006
Earlier work this paper cites.
F. Bauer, S. Pereverzev, and L. Rosasco, Journal of complexity 23
2007
Earlier work this paper cites.
A. Rahimi, B. Recht, et al. , in NIPS , Vol. 3 (2007) p. 5
2007
Earlier work this paper cites.
A. W. Harrow, A. Hassidim, and S. Lloyd, Physical review letters 103
2009
Earlier work this paper cites.
H. Hochstadt, Integral equations , Vol. 91 (John Wiley & Sons, 2011)
2011
Cited alongside, same era.
N. Wiebe, D. Braun, and S. Lloyd, Physical review letters 109
2012
Cited alongside, same era.
G. E. Fasshauer and M. J. McCourt, SIAM Journal on Scientific Computing 34
2012
Cited alongside, same era.
Y. Zhang, J. Duchi, and M. Wainwright, in Conference on Learning Theory (2013) pp. 592–617
2013
Cited alongside, same era.
P. Rebentrost, M. Mohseni, and S. Lloyd, Physical review letters 113
2014
Cited alongside, same era.
S. Shalev-Shwartz and S. Ben-David, Understanding machine learning: From theory to algorithms (Cambridge university press, 2014)
2014
Cited alongside, same era.
S. Kimmel, C. Y.-Y. Lin, G. H. Low, M. Ozols, and T. J. Yoder, npj Quantum Information 3
2017
Later among the works it cites.
Y. Yang, M. Pilanci, M. J. Wainwright, et al. , The Annals of Statistics 45
2017
Later among the works it cites.
S. Ma and M. Belkin, in Advances in Neural Information Processing Systems (2017) pp. 3778–3787
2017
Later among the works it cites.
H. Avron, K. L. Clarkson, and D. P. Woodruff, SIAM Journal on Matrix Analysis and Applications 38
2017
Later among the works it cites.
A. Rudi, L. Carratino, and L. Rosasco, in Advances in Neural Information Processing Systems (2017) pp. 3888–3898
2017
Later among the works it cites.
C. Ciliberto, M. Herbster, A. D. Ialongo, M. Pontil, A. Rocchetto, S. Severini, and L. Wossnig, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474
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S. Lloyd, M. Mohseni, and P. Rebentrost, Nature Physics 10
2014
Cited alongside, same era.
S. Aaronson, Nature Physics 11
2015
Cited alongside, same era.
A. Rudi, R. Camoriano, and L. Rosasco, in Advances in Neural Information Processing Systems (2015) pp. 1657–1665
2015
Cited alongside, same era.
M. Schuld, I. Sinayskiy, and F. Petruccione, Physical Review A 94
2016
Cited alongside, same era.
A. Gonen, F. Orabona, and S. Shalev-Shwartz, in International Conference on Machine Learning (2016) pp. 1397–1405
2016
Cited alongside, same era.
J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, and S. Lloyd, Nature 549
2017
Cited alongside, same era.
2018
Later among the works it cites.
S. Chakraborty, A. Gilyén, and S. Jeffery, arXiv preprint arXiv:1804.01973 (2018)
2018
Later among the works it cites.
E. Tang, arXiv preprint arXiv:1807.04271 (2018)
2018
Later among the works it cites.
N.-H. Chia, H.-H. Lin, and C. Wang, arXiv preprint arXiv:1811.04852 (2018)
2018
Later among the works it cites.
A. Gilyén, S. Lloyd, and E. Tang, arXiv preprint arXiv:1811.04909 (2018)
2018
Later among the works it cites.
D.-B. Zhang, S.-L. Zhu, and Z. Wang, arXiv preprint arXiv:1808.09607 (2018)
2018
Later among the works it cites.
A. B. Grilo, I. Kerenidis, and T. Zijlstra, Physical Review A 99
2019
Later among the works it cites.
V. Kanade, A. Rocchetto, and S. Severini, Quantum Information and Computation (2019)
2019
Later among the works it cites.
T. Li, S. Chakrabarti, and X. Wu, in Proceedings of the 36th International Conference on Machine Learning , Vol. 97, edited by K. Chaudhuri and R. Salakhutdinov (PMLR, Long Beach, California, USA, 2019) pp. 3815–3824
2019
Later among the works it cites.