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Wolfram Wiesemann

It's All in the Mix: Wasserstein Machine Learning with Mixed Features

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Dec 19, 2023
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Streamlining Energy Transition Scenarios to Key Policy Decisions

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Nov 11, 2023
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Differential Privacy via Distributionally Robust Optimization

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Apr 25, 2023
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Robust Phi-Divergence MDPs

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May 27, 2022
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Partial Policy Iteration for L1-Robust Markov Decision Processes

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Jun 16, 2020
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On Linear Optimization over Wasserstein Balls

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Apr 15, 2020
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Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

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Oct 23, 2019
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Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization

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Oct 17, 2019
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Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization

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Oct 05, 2017
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