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Polynomial networks and factorization machines are two recently-proposed models that can efficiently use feature interactions in classification and regression tasks.
Support vector regression with anova decomposition kernels
Stitson, Mark, Gammerman, Alex, Vapnik, Vladimir, Vovk, Volodya, Watkins, Chris, and Weston, Jason · 1997
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Statistical learning theory
Vapnik, Vladimir · 1998
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Nonlinear programming
Bertsekas, Dimitri P · 1999
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Using the nyström method to speed up kernel machines
Williams, Christopher K. I. and Seeger, Matthias · 2001
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Kernel Methods for Pattern Analysis
Shawe-Taylor, John and Cristianini, Nello · 2004
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Symmetric tensors and symmetric tensor rank
Comon, Pierre, Golub, Gene, Lim, Lek-Heng, and Mourrain, Bernard · 2008
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A new approach to collaborative filtering: Operator estimation with spectral regularization
Abernethy, Jacob, Bach, Francis, Evgeniou, Theodoros, and Vert, Jean-Philippe · 2009
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Training and testing low-degree polynomial data mappings via linear svm
Chang, Yin-Wen, Hsieh, Cho-Jui, Chang, Kai-Wei, Ringgaard, Michael, and Lin, Chih-Jen · 2010
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Spectral regularization algorithms for learning large incomplete matrices
Mazumder, Rahul, Hastie, Trevor, and Tibshirani, Robert · 2010
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Factorization machines
Rendle, Steffen · 2010
Cited alongside, same era.
Coffin: A computational framework for linear svms
Sonnenburg, Sören and Franc, Vojtech · 2010
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Multi-class pegasos on a budget
Wang, Z., Crammer, K., and Vucetic, S · 2010
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Scikit-learn: Machine learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E · 2011
Cited alongside, same era.
Random feature maps for dot product kernels
Kar, Purushottam and Karnick, Harish · 2012
Cited alongside, same era.
Scalable coordinate descent approaches to parallel matrix factorization for recommender systems
Yu, Hsiang-Fu, Hsieh, Cho-Jui, Si, Si, and Dhillon, Inderjit S · 2012
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Phase retrieval via matrix completion
Candès, Emmanuel J., Eldar, Yonina C., Strohmer, Thomas, and Voroninski, Vladislav · 2013
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Fast and scalable polynomial kernels via explicit feature maps
Pham, Ninh and Pagh, Rasmus · 2013
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Subspace embeddings for the polynomial kernel
Avron, Haim, Nguyen, Huy, and Woodruff, David · 2014
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A fast and accurate dependency parser using neural networks
Chen, Danqi and Manning, Christopher D · 2014
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On the computational efficiency of training neural networks
Livni, Roi, Shalev-Shwartz, Shai, and Shamir, Ohad · 2014
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Factorization machines with libfm
Rendle, Steffen · 2012
Cited alongside, same era.
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Convex factorization machines
Blondel, Mathieu, Fujino, Akinori, and Ueada, Naonori · 2015
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