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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
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Workshop
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Towards Out-of-Distribution Adversarial Robustness
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Workshop
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Nonlinear Wasserstein Distributionally Robust Optimal Control
Zhengang Zhong · Jia-Jie Zhu
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Workshop
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Robust Deep Learning via Layerwise Tilted Exponentials
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Workshop
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Characterizing the Optimal 0−1 Loss for Multi-class Classification with a Test-time Attacker
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Workshop
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Multiscale Flow for Robust and Optimal Cosmological Analysis
Biwei Dai · Uros Seljak
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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Workshop
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Mathematical Theory of Adversarial Deep Learning
Xiao-Shan Gao · Lijia Yu · Shuang Liu
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Workshop
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Shrink & Cert: Bi-level Optimization for Certified Robustness
Kavya Gupta · Sagar Verma
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Workshop
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Fri 17:25
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Ce Zhang: Optimizing Communications and Data for Distributed and Decentralized Learning
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Workshop
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Shrink & Cert: Bi-level Optimization for Certified Robustness
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
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