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Our goal is to build robust optimization problems for making decisions based on complex data from the past.
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Leo Breiman · 2001
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Olivier Bousquet · 2003
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Donald Goldfarb and Garud Iyengar · 2003
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Nonparametric quantile estimation
Ichiro Takeuchi, Quoc V Le, Timothy D Sears, and Alexander J Smola · 2006
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Robust optimization
Aharon Ben-Tal, Laurent El Ghaoui, and Arkadi Nemirovski · 2009
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PAC-Bayesian learning of linear classifiers
Pascal Germain, Alexandre Lacasse, François Laviolette, and Mario Marchand · 2009
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Erick Delage and Yinyu Ye · 2010
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D. Bertsimas, V. Gupta, and N. Kallus · 2013
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Machine learning with operational costs
Theja Tulabandhula and Cynthia Rudin · 2013
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Uncertain convex programs: randomized solutions and confidence levels
Giuseppe Calafiore and Marco C Campi · 2005
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Roger Koenker · 2005
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Geometric random walks: a survey
Santosh Vempala · 2005
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