开课单位--澳大利亚国立大学
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31
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxatior[基于亚模松弛的无标度网络学习的凸公式]
  Aaron Defazio(澳大利亚国立大学) A key problem in statistics and machine learning is the determination of network structure from data. We consider the case where the structure of the ...
热度：57

32
A Scalable Modular Convex Solver for Regularized Risk Minimization [一种用于规则化风险最小化的可伸缩模块凸型求解器]
  Choon Hui Teo(澳大利亚国立大学 ) A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different no...
热度：19

33
Surrogate Regret Bounds for Proper Losses[适当损失的替代后悔界限]
  Mark Reid(澳大利亚国立大学) We present tight surrogate regret bounds for the class of proper (i.e., Fisher consistent) losses. The bounds generalise the margin-based bounds due t...
热度：95

34
Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process[分层Poisson-Dirichlet过程的采样表配置]
  Changyou Chen(澳大利亚国立大学) Hierarchical modeling and reasoning are fundamental in machine intelligence, and for this the two-parameter Poisson-Dirichlet Process (PDP) plays an i...
热度：37

35
Global and Local Dynamics in Correlated Systems [相关系统中的全局和局部动力学]
  Tiziana Di Matteo(澳大利亚国立大学) In this talk, we will show results concerning the characterization and visualization of correlations in financial systems by means of network analysis...
热度：50
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