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We propose a non-convex training objective for robust binary classification of data sets in which label noise is present.
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Brush, S · 1967
Earlier work this paper cites.
Maximum likelihood from incomplete data via the EM algorithm
Dempster, A. P., Laird, N. M., and Rubin, D. B · 1977
Earlier work this paper cites.
On the limited memory BFGS method for large scale optimization
Liu, D. C., Nocedal, J., and Dong, C · 1989
Earlier work this paper cites.
Approximate statistical tests for comparing supervised classification learning algorithms
Dietterich, Thomas G · 1998
Earlier work this paper cites.
Statistical learning theory
Vapnik, V · 1998
Earlier work this paper cites.
An introduction to variational methods for graphical models
Jordan, Michael I., Ghahramani, Zoubin, Jaakkola, Tommi S., and Saul, Lawrence K · 1999
Earlier work this paper cites.
Quantum computation by adiabatic evolution
Farhi, E., Goldstone, J., Gutmann, S., and Sipser, M · 2000
Earlier work this paper cites.
The concave-convex procedure (CCCP)
Yuille, A. L. and Rangarajan, A · 2002
Earlier work this paper cites.
Multistart tabu search strategies for the unconstrained binary quadratic optimization problem
Palubeckis, G · 2004
Earlier work this paper cites.
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Later among the works it cites.
Zhang, X., Saha, A., and Vishwanathan, S. V. N · 2010
Later among the works it cites.
PETSc Web page, 2011
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Later among the works it cites.
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TAO user manual (revision 1.10.1)
Benson, S., McInnes, L. C., Moré, J., Munson, T., and Sarich, J · 2010
Cited alongside, same era.
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Ding, N. and Vishwanathan, S. V. N · 2010
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