Soft-Bayes: Prod for Mixtures of Experts with Log-Loss
暂无分享,去创建一个
[1] E. R. Love,et al. 64.4 Some Logarithm Inequalities , 1980 .
[2] Santosh S. Vempala,et al. Efficient algorithms for universal portfolios , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[3] T. Cover. Universal Portfolios , 1996 .
[4] Christopher Mattern. Statistical Data Compression , 2008, Encyclopedia of Algorithms.
[5] Yoram Singer,et al. On‐Line Portfolio Selection Using Multiplicative Updates , 1998, ICML.
[6] Wouter M. Koolen. Prediction with Expert Advice , 2017, Encyclopedia of Machine Learning and Data Mining.
[7] Vladimir Vovk,et al. Prediction with Expert Evaluators' Advice , 2009, ALT.
[8] Joel Veness,et al. Context Tree Switching , 2011, 2012 Data Compression Conference.
[9] Haipeng Luo,et al. Efficient Second Order Online Learning by Sketching , 2016, NIPS.
[10] Gilles Stoltz,et al. A second-order bound with excess losses , 2014, COLT.
[11] Raphail E. Krichevsky,et al. The performance of universal encoding , 1981, IEEE Trans. Inf. Theory.
[12] Joel Veness,et al. On Ensemble Techniques for AIXI Approximation , 2012, AGI.
[13] Yoram Singer,et al. Efficient projections onto the l1-ball for learning in high dimensions , 2008, ICML '08.
[14] Claudio Gentile,et al. Adaptive and Self-Confident On-Line Learning Algorithms , 2000, J. Comput. Syst. Sci..
[15] Marcus Hutter,et al. Sparse Adaptive Dirichlet-Multinomial-like Processes , 2013, COLT.
[16] Yoram Singer,et al. Using and combining predictors that specialize , 1997, STOC '97.
[17] Alessandro Lazaric,et al. Exploiting easy data in online optimization , 2014, NIPS.
[18] Wouter M. Koolen,et al. Putting Bayes to sleep , 2012, NIPS.
[19] Mark Herbster,et al. Tracking the Best Expert , 1995, Machine-mediated learning.
[20] Wilfred Perks,et al. Some observations on inverse probability including a new indifference rule , 1947 .
[21] Elad Hazan,et al. Introduction to Online Convex Optimization , 2016, Found. Trends Optim..
[22] Elad Hazan,et al. Logarithmic regret algorithms for online convex optimization , 2006, Machine Learning.
[23] Martin Zinkevich,et al. Online Convex Programming and Generalized Infinitesimal Gradient Ascent , 2003, ICML.