Gradient Boosting on Stochastic Data Streams
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Martial Hebert | J. Andrew Bagnell | Arun Venkatraman | Wen Sun | Hanzhang Hu | M. Hebert | J. Bagnell | Arun Venkatraman | Wen Sun | Hanzhang Hu
[1] Haipeng Luo,et al. Optimal and Adaptive Algorithms for Online Boosting , 2015, ICML.
[2] Yuxin Peng,et al. Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection , 2016, AAAI.
[3] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[4] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .
[5] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[6] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[7] Philip Wolfe,et al. An algorithm for quadratic programming , 1956 .
[8] Bin Yang,et al. Convolutional Channel Features , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] Tong Zhang,et al. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction , 2013, NIPS.
[10] Elad Hazan,et al. An optimal algorithm for stochastic strongly-convex optimization , 2010, 1006.2425.
[11] Peter L. Bartlett,et al. Boosting Algorithms as Gradient Descent , 1999, NIPS.
[12] Hsuan-Tien Lin,et al. An Online Boosting Algorithm with Theoretical Justifications , 2012, ICML.
[13] Bin Yu,et al. Boosting with early stopping: Convergence and consistency , 2005, math/0508276.
[14] Shreyasee Amin,et al. Assessing fracture risk using gradient boosting machine (GBM) models , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[15] J. Andrew Bagnell,et al. Generalized Boosting Algorithms for Convex Optimization , 2011, ICML.
[16] Horst Bischof,et al. On robustness of on-line boosting - a competitive study , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[17] Alex M. Andrew,et al. Boosting: Foundations and Algorithms , 2012 .
[18] Joon Hee Han,et al. Local Decorrelation For Improved Pedestrian Detection , 2014, NIPS.
[19] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[20] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[21] Claudio Gentile,et al. On the generalization ability of on-line learning algorithms , 2001, IEEE Transactions on Information Theory.
[22] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[23] Horst Bischof,et al. Semi-supervised On-Line Boosting for Robust Tracking , 2008, ECCV.
[24] Horst Bischof,et al. On-line Boosting and Vision , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[25] J. Andrew Bagnell,et al. SpeedBoost: Anytime Prediction with Uniform Near-Optimality , 2012, AISTATS.
[26] Shai Shalev-Shwartz,et al. Online Learning and Online Convex Optimization , 2012, Found. Trends Mach. Learn..
[27] Elad Hazan,et al. Logarithmic regret algorithms for online convex optimization , 2006, Machine Learning.
[28] Stuart J. Russell,et al. Online bagging and boosting , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.
[29] Yanru Zhang,et al. A gradient boosting method to improve travel time prediction , 2015 .
[30] Haipeng Luo,et al. Online Gradient Boosting , 2015, NIPS.