A distributional interpretation of robust optimization
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[1] Melvyn Sim,et al. The Price of Robustness , 2004, Oper. Res..
[2] Shie Mannor,et al. The Robustness-Performance Tradeoff in Markov Decision Processes , 2006, NIPS.
[3] Alexander Shapiro,et al. Worst-case distribution analysis of stochastic programs , 2006, Math. Program..
[4] J. Dupacová. The minimax approach to stochastic programming and an illustrative application , 1987 .
[5] Yurii Nesterov,et al. Primal-dual subgradient methods for convex problems , 2005, Math. Program..
[6] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[7] Richard A. Davis,et al. Remarks on Some Nonparametric Estimates of a Density Function , 2011 .
[8] Michael I. Jordan,et al. A Robust Minimax Approach to Classification , 2003, J. Mach. Learn. Res..
[9] D. W. Scott,et al. Multivariate Density Estimation, Theory, Practice and Visualization , 1992 .
[10] John M. Wilson,et al. Introduction to Stochastic Programming , 1998, J. Oper. Res. Soc..
[11] Laurent El Ghaoui,et al. Robust Optimization , 2021, ICORES.
[12] Laurent El Ghaoui,et al. Robust Solutions to Least-Squares Problems with Uncertain Data , 1997, SIAM J. Matrix Anal. Appl..
[13] Boaz Golany,et al. Supplier-Retailer Flexible Commitments Contracts : A Robust Optimization Approach , 2003 .
[14] Thomas Hofmann,et al. The Robustness-Performance Tradeoff in Markov Decision Processes , 2007 .
[15] Yinyu Ye,et al. Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems , 2010, Oper. Res..
[16] R. Wets,et al. Epi‐consistency of convex stochastic programs , 1991 .
[17] András Prékopa. Static Stochastic Programming Models , 1995 .
[18] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[19] A. Ben-Tal,et al. Adjustable robust solutions of uncertain linear programs , 2004, Math. Program..
[20] P. Kall,et al. Stochastric programming with recourse: upper bounds and moment problems: a review , 1988 .
[21] Alexander Shapiro,et al. On the Rate of Convergence of Optimal Solutions of Monte Carlo Approximations of Stochastic Programs , 2000, SIAM J. Optim..
[22] Arkadi Nemirovski,et al. Robust solutions of uncertain linear programs , 1999, Oper. Res. Lett..
[23] Boaz Golany,et al. Retailer-Supplier Flexible Commitments Contracts: A Robust Optimization Approach , 2005, Manuf. Serv. Oper. Manag..
[24] Shie Mannor,et al. Robust Regression and Lasso , 2008, IEEE Transactions on Information Theory.
[25] László Györfi,et al. A Probabilistic Theory of Pattern Recognition , 1996, Stochastic Modelling and Applied Probability.
[26] Alexander Shapiro,et al. Asymptotic analysis of stochastic programs , 1991, Ann. Oper. Res..
[27] Shie Mannor,et al. Percentile Optimization for Markov Decision Processes with Parameter Uncertainty , 2010, Oper. Res..
[28] Ioana Popescu,et al. Robust Mean-Covariance Solutions for Stochastic Optimization , 2007, Oper. Res..
[29] K. Isii. On sharpness of tchebycheff-type inequalities , 1962 .
[30] Shie Mannor,et al. Robustness and Regularization of Support Vector Machines , 2008, J. Mach. Learn. Res..
[31] Allen L. Soyster,et al. Technical Note - Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming , 1973, Oper. Res..
[32] Melvyn Sim,et al. Distributionally Robust Optimization and Its Tractable Approximations , 2010, Oper. Res..
[33] Arkadi Nemirovski,et al. Robust Modeling of Multi-Stage Portfolio Problems , 2000 .
[34] Shun-ichi Amari,et al. A Theory of Pattern Recognition , 1968 .
[35] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[36] Alexander J. Smola,et al. Second Order Cone Programming Approaches for Handling Missing and Uncertain Data , 2006, J. Mach. Learn. Res..
[37] Ingo Steinwart,et al. Consistency of support vector machines and other regularized kernel classifiers , 2005, IEEE Transactions on Information Theory.
[38] L. Devroye,et al. Nonparametric density estimation : the L[1] view , 1987 .
[39] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[40] David W. Scott,et al. Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.
[41] Stephen P. Boyd,et al. Digital Circuit Optimization via Geometric Programming , 2005, Oper. Res..
[42] Constantine Caramanis,et al. Theory and Applications of Robust Optimization , 2010, SIAM Rev..
[43] Peter L. Bartlett,et al. Neural Network Learning - Theoretical Foundations , 1999 .
[44] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[45] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[46] Luc Devroye,et al. Nonparametric Density Estimation , 1985 .
[47] A. Shapiro,et al. On rate of convergence of Monte Carlo approximations of stochastic programs , 1998 .
[48] 柳井 浩,et al. A Min Max Solution of an inventory problem , 1959 .
[49] Arkadi Nemirovski,et al. Robust solutions of Linear Programming problems contaminated with uncertain data , 2000, Math. Program..