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05/26/2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
Wasserstein distributionally robust estimators have emerged as powerful ...
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11/15/2022
On the rate of convergence of Bregman proximal methods in constrained variational inequalities
We examine the last-iterate convergence rate of Bregman proximal methods...
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07/05/2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities
In this paper, we analyze the local convergence rate of optimistic mirro...
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06/28/2020
Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks
Various classes of Graph Neural Networks (GNN) have been proposed and sh...
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01/02/2020
Accelerating Smooth Games by Manipulating Spectral Shapes
We use matrix iteration theory to characterize acceleration in smooth ga...
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06/17/2019
Lower Bounds and Conditioning of Differentiable Games
Many recent machine learning tools rely on differentiable game formulati...
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06/13/2019