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Found 5 papers, 1 papers with code
Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Alternatively, a two-step procedure is proposed -- adaptive adversarial training, which could further improve the performance of adversarial training under $\ell_\infty$-perturbation.
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
We propose an adjusted Wasserstein distributionally robust estimator -- based on a nonlinear transformation of the Wasserstein distributionally robust (WDRO) estimator in statistical learning.
Improved Rate of First Order Algorithms for Entropic Optimal Transport
To compare, we prove that the computational complexity of the Stochastic Sinkhorn algorithm is $\widetilde{{O}}({n^2}/{\epsilon^2})$, which is slower than our accelerated primal-dual stochastic mirror algorithm.
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
Computing the empirical Wasserstein distance in the independence test requires solving this special type of OT problem, where $m=n^2$.
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem
A primal-dual accelerated stochastic gradient descent with variance reduction algorithm (PDASGD) is proposed to solve linear-constrained optimization problems.
