Nonparametric Budgeted Stochastic Gradient Descent
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Trung Le | Tu Dinh Nguyen | Dinh Q. Phung | Vu Nguyen | Vu Nguyen | Trung Le | T. Nguyen
[1] H. Robbins. A Stochastic Approximation Method , 1951 .
[2] M. Opper. Sparse Online Gaussian Processes , 2008 .
[3] Slobodan Vucetic,et al. Online Passive-Aggressive Algorithms on a Budget , 2010, AISTATS.
[4] Elad Hazan,et al. Logarithmic regret algorithms for online convex optimization , 2006, Machine Learning.
[5] Koby Crammer,et al. Confidence-weighted linear classification , 2008, ICML '08.
[6] Slobodan Vucetic,et al. Twin Vector Machines for Online Learning on a Budget , 2009, SDM.
[7] Yoram Singer,et al. The Forgetron: A Kernel-Based Perceptron on a Budget , 2008, SIAM J. Comput..
[8] Koby Crammer,et al. Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training , 2012, J. Mach. Learn. Res..
[9] Thorsten Joachims,et al. Making large-scale support vector machine learning practical , 1999 .
[10] Elad Hazan,et al. An optimal algorithm for stochastic strongly-convex optimization , 2010, 1006.2425.
[11] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT.
[12] Barbara Caputo,et al. Bounded Kernel-Based Online Learning , 2009, J. Mach. Learn. Res..
[13] Steven C. H. Hoi,et al. Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning , 2012, ICML.
[14] Steven C. H. Hoi,et al. Large Scale Online Kernel Learning , 2016, J. Mach. Learn. Res..
[15] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[16] Claudio Gentile,et al. Tracking the best hyperplane with a simple budget Perceptron , 2006, Machine Learning.
[17] Koby Crammer,et al. Online Classification on a Budget , 2003, NIPS.
[18] Jinfeng Yi,et al. Online Kernel Learning with a Near Optimal Sparsity Bound , 2013, ICML.
[19] Alexander J. Smola,et al. Online learning with kernels , 2001, IEEE Transactions on Signal Processing.
[20] Yoram Singer,et al. The Forgetron: A Kernel-Based Perceptron on a Fixed Budget , 2005, NIPS.
[21] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT' 98.
[22] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[23] Ohad Shamir,et al. Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization , 2011, ICML.
[24] Mark W. Schmidt,et al. A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method , 2012, ArXiv.
[25] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[26] Koby Crammer,et al. Online Passive-Aggressive Algorithms , 2003, J. Mach. Learn. Res..
[27] K. Miller. On the Inverse of the Sum of Matrices , 1981 .
[28] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..