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Found 3 papers, 1 papers with code
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Computational equilibrium finding in large zero-sum extensive-form imperfect-information games has led to significant recent AI breakthroughs.
A Spectral View of Adversarially Robust Features
This connection can be leveraged to provide both robust features, and a lower bound on the robustness of any function that has significant variance across the dataset.
Mitigating Unwanted Biases with Adversarial Learning
Machine learning is a tool for building models that accurately represent input training data.
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