Oracle inequalities for computationally budgeted model selection
暂无分享,去创建一个
Peter L. Bartlett | John C. Duchi | Alekh Agarwal | Clément Levrard | P. Bartlett | Alekh Agarwal | Clément Levrard | Peter L. Bartlett | Clément Levrard | Peter L. Bartlett | Clément Levrard
[1] C. L. Mallows. Some comments on C_p , 1973 .
[2] P. Massart,et al. Risk bounds for model selection via penalization , 1999 .
[3] P. Massart,et al. Concentration inequalities and model selection , 2007 .
[4] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[5] J. Rissanen. A UNIVERSAL PRIOR FOR INTEGERS AND ESTIMATION BY MINIMUM DESCRIPTION LENGTH , 1983 .
[6] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[7] R. Dudley. Central Limit Theorems for Empirical Measures , 1978 .
[8] Peter L. Bartlett,et al. Model Selection and Error Estimation , 2000, Machine Learning.
[9] T. L. Lai Andherbertrobbins. Asymptotically Efficient Adaptive Allocation Rules , 2022 .
[10] J. Lamperti. ON CONVERGENCE OF STOCHASTIC PROCESSES , 1962 .
[11] H. Akaike. A new look at the statistical model identification , 1974 .
[12] C. Mallows. More comments on C p , 1995 .
[13] Andrew R. Barron,et al. Complexity Regularization with Application to Artificial Neural Networks , 1991 .
[14] Alexander Shapiro,et al. Stochastic Approximation approach to Stochastic Programming , 2013 .
[15] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[16] G. Lugosi,et al. Complexity regularization via localized random penalties , 2004, math/0410091.
[17] Peter Auer,et al. The Nonstochastic Multiarmed Bandit Problem , 2002, SIAM J. Comput..
[18] S. Geman,et al. Nonparametric Maximum Likelihood Estimation by the Method of Sieves , 1982 .
[19] R. Dudley. The Sizes of Compact Subsets of Hilbert Space and Continuity of Gaussian Processes , 1967 .