robust optimization
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Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
In fact, without such assumptions, this problem is NP-hard [Sim02; MR18].
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Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
In this paper, we propose a DRO framework that relies on a new distance inspired by Unbalanced Optimal Transport (UOT).
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Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney
Neural Information Processing Systems http://nips.cc/
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Distributionally Robust Bayesian Optimization with ϕ-divergences
As with all data-driven approaches, BO is prone to cases where the given data shifts from the data of interest.
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