Quantitative geometric stability for semi-discrete optimal transport

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Inverse bounds for learning latent structures

Long Nguyen
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Gradient flows on graphons

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Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures

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Stability and Sample-based Approximations of Composite Stochastic Optimization Problems

Darinka Dentcheva
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Dynamic acceptability indices generated by distortion functions

Igor Cialenco
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Markov decision processes with Kusuoka-type conditional risk mappings

Ziteng Cheng
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Risk averse and distributionally robust modeling of multistage stochastic programs

Alexander Shapiro
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On the benefits of risk sharing

Delia Coculescu
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