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Some recent works in machine learning and computer vision involve the solution of a bi-level optimization problem.
Three-dimensional Computer Vision
O. Faugeras · 1993
Earlier work this paper cites.
Practical Bilevel Optimization: Algorithms and Applications
J. F. Bard · 1998
Earlier work this paper cites.
Convex Optimization
S. P. Boyd and L. Vandenberghe · 2004
Earlier work this paper cites.
Efficient multiple hyperparameter learning for log-linear models
C. B. Do, C.-S. Foo, and A. Y. Ng · 2007
Earlier work this paper cites.
Learning optimized MAP estimates in continuously-valued MRF models
K. G. G. Samuel and M. F. Tappen · 2009
Earlier work this paper cites.
Generic methods for optimization-based modeling
J. Domke · 2012
Cited alongside, same era.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
On the solution of convex bilevel optimization problems
S. Dempe and S. Franke · 2015
Cited alongside, same era.
Continuous hyper-parameter learning for support vector machines
T. Klatzer and T. Pock · 2015
Cited alongside, same era.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Cited alongside, same era.
Bilevel optimization with nonsmooth lower level problems
P. Ochs, R. Ranftl, T. Brox, and T. Pock · 2015
Later among the works it cites.
Deep learning in neural networks: An overview
J. Schmidhuber · 2015
Later among the works it cites.
Learning end-to-end video classification with rank-pooling
B. Fernando and S. Gould · 2016
Closest in time.
Discriminative hierarchical rank pooling for activity recognition
B. Fernando, P. Anderson, M. Hutter, and S. Gould · 2016
Closest in time.
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