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[1] D. Cox. The Regression Analysis of Binary Sequences , 2017 .
[2] Cun-Hui Zhang. Nearly unbiased variable selection under minimax concave penalty , 2010, 1002.4734.
[3] Changshui Zhang,et al. Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression , 2013, Pattern Recognit..
[4] Daphne Koller,et al. Learning specific-class segmentation from diverse data , 2011, 2011 International Conference on Computer Vision.
[5] Bilge Mutlu,et al. How Do Humans Teach: On Curriculum Learning and Teaching Dimension , 2011, NIPS.
[6] Zhihua Zhang,et al. On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems , 2015, ArXiv.
[7] Masashi Sugiyama,et al. Outlier Path: A Homotopy Algorithm for Robust SVM , 2014, ICML.
[8] J. Friedman. Stochastic gradient boosting , 2002 .
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] S. Stigler. Gauss and the Invention of Least Squares , 1981 .
[11] Shiguang Shan,et al. Self-Paced Learning with Diversity , 2014, NIPS.
[12] Zhihua Zhang,et al. Nonconvex Relaxation Approaches to Robust Matrix Recovery , 2013, IJCAI.
[13] Valentin I. Spitkovsky,et al. Baby Steps: How “Less is More” in Unsupervised Dependency Parsing , 2009 .
[14] Bernhard Schölkopf,et al. Use of the Zero-Norm with Linear Models and Kernel Methods , 2003, J. Mach. Learn. Res..
[15] Qi Xie,et al. Self-Paced Learning for Matrix Factorization , 2015, AAAI.
[16] Sumit Basu,et al. Teaching Classification Boundaries to Humans , 2013, AAAI.
[17] Apostol Natsev,et al. Efficient Large Scale Video Classification , 2015, ArXiv.
[18] Shiguang Shan,et al. Self-Paced Curriculum Learning , 2015, AAAI.
[19] Deyu Meng,et al. Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] D. Hunter,et al. Optimization Transfer Using Surrogate Objective Functions , 2000 .
[21] Antonio Torralba,et al. Are all training examples equally valuable? , 2013, ArXiv.
[22] Jieping Ye,et al. A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems , 2013, ICML.
[23] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[24] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[25] Paul S. Bradley,et al. Feature Selection via Concave Minimization and Support Vector Machines , 1998, ICML.
[26] Zhihua Zhang,et al. Nonconvex Penalization Using Laplace Exponents and Concave Conjugates , 2012, NIPS.
[27] Deva Ramanan,et al. Self-Paced Learning for Long-Term Tracking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[28] F. Vaida. PARAMETER CONVERGENCE FOR EM AND MM ALGORITHMS , 2005 .
[29] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[30] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[31] Tong Zhang,et al. A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems , 2011, 1108.4988.
[32] Zhaoran Wang,et al. OPTIMAL COMPUTATIONAL AND STATISTICAL RATES OF CONVERGENCE FOR SPARSE NONCONVEX LEARNING PROBLEMS. , 2013, Annals of statistics.
[33] Yunchao Wei,et al. Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[35] Yong Jae Lee,et al. Learning the easy things first: Self-paced visual category discovery , 2011, CVPR 2011.
[36] Charles X. Ling,et al. Supervised Learning with Minimal Effort , 2010, PAKDD.
[37] Fei-Fei Li,et al. Shifting Weights: Adapting Object Detectors from Image to Video , 2012, NIPS.
[38] Deyu Meng,et al. Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search , 2014, ACM Multimedia.
[39] Tong Zhang,et al. Analysis of Multi-stage Convex Relaxation for Sparse Regularization , 2010, J. Mach. Learn. Res..
[40] Chao Li,et al. A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).