A new large-scale learning algorithm for generalized additive models
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[1] T. Tarpey,et al. A sparse additive model for treatment effect-modifier selection. , 2020, Biostatistics.
[2] Tong Zhang,et al. SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator , 2018, NeurIPS.
[3] Bin Gu,et al. Asynchronous Doubly Stochastic Sparse Kernel Learning , 2018, AAAI.
[4] Bin Gu,et al. Asynchronous Doubly Stochastic Group Regularized Learning , 2018, AISTATS.
[5] Simon N. Wood,et al. Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data , 2017 .
[6] Tie-Yan Liu,et al. Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction , 2016, AAAI.
[7] Yuanzhi Li,et al. Even Faster SVD Decomposition Yet Without Agonizing Pain , 2016, NIPS.
[8] Yaoliang Yu,et al. Additive Approximations in High Dimensional Nonparametric Regression via the SALSA , 2016, ICML.
[9] Pascal Bianchi,et al. A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions , 2015, SIAM J. Optim..
[10] T. Hastie,et al. Generalized Additive Model Selection , 2015, 1506.03850.
[11] Amir Beck,et al. On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes , 2015, SIAM J. Optim..
[12] S. Wood,et al. Generalized additive models for large data sets , 2015 .
[13] Yiming Wang,et al. Accelerated Mini-batch Randomized Block Coordinate Descent Method , 2014, NIPS.
[14] O. Shamir,et al. A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate , 2014, ICML.
[15] Ding-Xuan Zhou,et al. Learning rates for the risk of kernel-based quantile regression estimators in additive models , 2014, 1405.3379.
[16] Stephen J. Wright,et al. Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties , 2014, SIAM J. Optim..
[17] Ronny Luss,et al. Sparse Quantile Huber Regression for Efficient and Robust Estimation , 2014, ArXiv.
[18] Leon Wenliang Zhong,et al. Fast Stochastic Alternating Direction Method of Multipliers , 2013, ICML.
[19] Alexander G. Gray,et al. Stochastic Alternating Direction Method of Multipliers , 2013, ICML.
[20] Xi Chen,et al. Group Sparse Additive Models , 2012, ICML.
[21] Chia-Hua Ho,et al. An improved GLMNET for l1-regularized logistic regression , 2011, J. Mach. Learn. Res..
[22] Larry A. Wasserman,et al. SpAM: Sparse Additive Models , 2007, NIPS.
[23] Benjamin Recht,et al. Random Features for Large-Scale Kernel Machines , 2007, NIPS.
[24] Hao Helen Zhang,et al. Component selection and smoothing in multivariate nonparametric regression , 2006, math/0702659.
[25] Stephen P. Boyd,et al. Convex Optimization , 2004, IEEE Transactions on Automatic Control.
[26] F. Dominici,et al. On the use of generalized additive models in time-series studies of air pollution and health. , 2002, American journal of epidemiology.
[27] Stefan Sperlich,et al. Generalized Additive Models , 2014 .
[28] Charles R. Johnson,et al. Matrix analysis , 1985 .
[29] Hong Chen,et al. Group Sparse Additive Machine , 2017, NIPS.
[30] D. Choi. A generalization of the Cauchy-Schwarz inequality , 2016 .
[31] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[32] Les A. Piegl,et al. B-Spline Basis Functions , 1997 .